Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Job Description About Komline As a pioneering leader in advanced separation technologies, Komline has established a global reputation for engineering excellence. Through our combination of innovative design, cutting-edge manufacturing capabilities, and decades of industry experience, we consistently deliver the highest quality equipment from our integrated manufacturing facilities. Serving our core markets of Water & Process, Agricultural & Renewables, and Industrials, we pride ourselves on providing comprehensive separation solutions precisely tailored to our clients' requirements. With a strong track record of strategic growth and acquisitions, Komline continues to expand its solution portfolio and technical capabilities while maintaining our commitment to innovation and customer satisfaction. This Opportunity For over 40 years the Komline-Filtra Systems team has specialized in custom engineered industrial and separation filtration solutions serving industries such as metalworking, water/wastewater treatment, chemical, mining, and steel. With over 60 patents and 21,000 systems installed across 37 countries, Komline-Filtra Systems offers a wide range of products ranging from water purification, coolant/oil filtration, air/mist collectors, and pressure filters. This is a multi-faceted role, to include working in several different departments as needed. The position will be trained to work on several different production lines. The position also will be trained in Filtra's quality standards and perform duties in Quality Control, the Final Assembly Department and Shipping/Receiving. The position also assists the Plant Manager with LEAN initiatives such as staging material at the production lines to increase overall production throughout the plant. Roles and Responsibilities Work on multiple lines as needed, Quality, Final Assembly and Shipping and Receiving Picking and pulling raw materials for staging Assist with inventory control LEAN initiatives Required Qualifications Safety awareness Forklift capable LEAN Training is a plus but not required Use of standard hand tools Computer skills are a plus but not required Equal Opportunity Statement: Komline is an EEO employer - M/F/Vets/Disabled
07/27/2026
Full time
Job Description Job Description About Komline As a pioneering leader in advanced separation technologies, Komline has established a global reputation for engineering excellence. Through our combination of innovative design, cutting-edge manufacturing capabilities, and decades of industry experience, we consistently deliver the highest quality equipment from our integrated manufacturing facilities. Serving our core markets of Water & Process, Agricultural & Renewables, and Industrials, we pride ourselves on providing comprehensive separation solutions precisely tailored to our clients' requirements. With a strong track record of strategic growth and acquisitions, Komline continues to expand its solution portfolio and technical capabilities while maintaining our commitment to innovation and customer satisfaction. This Opportunity For over 40 years the Komline-Filtra Systems team has specialized in custom engineered industrial and separation filtration solutions serving industries such as metalworking, water/wastewater treatment, chemical, mining, and steel. With over 60 patents and 21,000 systems installed across 37 countries, Komline-Filtra Systems offers a wide range of products ranging from water purification, coolant/oil filtration, air/mist collectors, and pressure filters. This is a multi-faceted role, to include working in several different departments as needed. The position will be trained to work on several different production lines. The position also will be trained in Filtra's quality standards and perform duties in Quality Control, the Final Assembly Department and Shipping/Receiving. The position also assists the Plant Manager with LEAN initiatives such as staging material at the production lines to increase overall production throughout the plant. Roles and Responsibilities Work on multiple lines as needed, Quality, Final Assembly and Shipping and Receiving Picking and pulling raw materials for staging Assist with inventory control LEAN initiatives Required Qualifications Safety awareness Forklift capable LEAN Training is a plus but not required Use of standard hand tools Computer skills are a plus but not required Equal Opportunity Statement: Komline is an EEO employer - M/F/Vets/Disabled
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer, Gen AI Platform Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer, Gen AI Platform Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
RS Master Craftsperson in GAC Savannah Unique Skills: UNIQUE SKILLS Must be able to work any shift as directed by Manager. Also, this position is for any Hangar in the Savannah Service Center. Sheetmetal Structure Mechanic position. Structure Mechanic experience. Read and interpret Mechanical Drawings/Schematics. Use Catia, Corridor, E-CMP, Perform assigned tasks with minor guidance. Fabricate parts, Able to operate Shop equipment to include Mill and Lathe. At Gulfstream, our people are at the heart of everything we do. We believe in inspiring and empowering every individual to reach their fullest potential. From workforce development and meaningful connections to a culture of trust, respect, and integrity, we invest in our employees so they can do their best work and achieve success together. Creating and delivering the world's finest aviation experience starts with our people and when our people thrive, so does our mission. Education and Experience Requirements High School Diploma or GED required. 10 years extensive experience in production/manufacturing/service center. FAA A&P license or be able to obtain a repairman certificate within 30 days of start date. Position Purpose: Technical expert. Perform repairs on installations that require a high degree of accuracy and timeliness. Function independently in a team oriented work environment. Job Description Principle Duties and Responsibilities: Essential Functions: Perform technical functions such as correct methods of manufacturing, sequence of operations and methodology of assemblies and installations, as well as detail components. Troubleshoot any problem areas in tooling, production, assembly, aircraft systems and operations, composites, etc., to determine cause and pursue preventative actions with proper liaison which improves production efficiency and product quality. Assist in problem solving to establish or correct planning methods for producing parts and using tooling efficiently by utilizing standard techniques, procedures and criteria. Interact with Engineering, Manufacturing Engineering and Quality Control to troubleshoot problems and implement solutions. Organize, develop (with assistance of the Training Department) and administer the Employee Skills Development Program. Identify and develop training requirements for tooling, test equipment and other areas. Support Lean activities. . Additional Functions: Perform tasks assigned to department mechanics or leads during their absence, when required. . Comply with standard operating procedures. . Complete all required. paperwork and documentation to include CMP cards, Travelers and R&I log. . Comply with all safety, 5S, and housekeeping policies and use personal protective equipment. Ensure aircraft interior is protected (PTP). Assist in the development and implementation of related initiatives. . Perform repairs on installations that require a high degree of accuracy and timeliness. . Assist in training subordinates in proper techniques, processes and procedures. . Perform other duties as assigned. Other Requirements: Thorough knowledge of manufacturing procedures and specifications, plant safety, tooling, and quality requirements. Familiar with CATIA V5 and Solumina software. Must have an established track record of troubleshooting manufacturing or installation processes. Proficient knowledge of all applicable machinery and processes necessary to perform the job including but not limited to (lathe, mill, surface grinder, contour roller, cold working tools, general sheet metal tools, UV curable coatings, sanding equipment, table saw, drill press, router, chop saw, time saver, jointer, planner, band saw, edge banding sander, disk sanders, resaw Foam Saws, Pin saw, general Upholstery tools, Surgers, Sewing machine, toning, stripping (chemical/heat), touch-up, spraying, buffing, staining, painting, paint color matching, etc.). Strong written and verbal communication skills. Must possess leadership skills and the ability to communicate and impart knowledge to others. Must have ability to lift up to 50 pounds. Must be able to work any shift. Must be able to read, write, speak, and understand the English language. This job requires one to be able to read, write, speak, and understand the English language. Additional Information Requisition Number: 231081 Category: Operations Percentage of Travel: Up to 25% Shift: Multiple Shifts Employment Type: Full-time Posting End Date: 07/31/2026 Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Gulfstream does not provide work visa sponsorship for this position, unless the applicant is a currently sponsored Gulfstream employee. Legal Information Site Utilities Contacts Sitemap Copyright 2025 Gulfstream Aerospace Corporation. All Rights Reserved. A General Dynamics Company . Gulfstream Aerospace Corporation, a wholly-owned subsidiary of General Dynamics (NYSE: GD), designs, develops, manufactures, markets, services and supports the world's most technologically-advanced business jet aircraft
07/27/2026
Full time
RS Master Craftsperson in GAC Savannah Unique Skills: UNIQUE SKILLS Must be able to work any shift as directed by Manager. Also, this position is for any Hangar in the Savannah Service Center. Sheetmetal Structure Mechanic position. Structure Mechanic experience. Read and interpret Mechanical Drawings/Schematics. Use Catia, Corridor, E-CMP, Perform assigned tasks with minor guidance. Fabricate parts, Able to operate Shop equipment to include Mill and Lathe. At Gulfstream, our people are at the heart of everything we do. We believe in inspiring and empowering every individual to reach their fullest potential. From workforce development and meaningful connections to a culture of trust, respect, and integrity, we invest in our employees so they can do their best work and achieve success together. Creating and delivering the world's finest aviation experience starts with our people and when our people thrive, so does our mission. Education and Experience Requirements High School Diploma or GED required. 10 years extensive experience in production/manufacturing/service center. FAA A&P license or be able to obtain a repairman certificate within 30 days of start date. Position Purpose: Technical expert. Perform repairs on installations that require a high degree of accuracy and timeliness. Function independently in a team oriented work environment. Job Description Principle Duties and Responsibilities: Essential Functions: Perform technical functions such as correct methods of manufacturing, sequence of operations and methodology of assemblies and installations, as well as detail components. Troubleshoot any problem areas in tooling, production, assembly, aircraft systems and operations, composites, etc., to determine cause and pursue preventative actions with proper liaison which improves production efficiency and product quality. Assist in problem solving to establish or correct planning methods for producing parts and using tooling efficiently by utilizing standard techniques, procedures and criteria. Interact with Engineering, Manufacturing Engineering and Quality Control to troubleshoot problems and implement solutions. Organize, develop (with assistance of the Training Department) and administer the Employee Skills Development Program. Identify and develop training requirements for tooling, test equipment and other areas. Support Lean activities. . Additional Functions: Perform tasks assigned to department mechanics or leads during their absence, when required. . Comply with standard operating procedures. . Complete all required. paperwork and documentation to include CMP cards, Travelers and R&I log. . Comply with all safety, 5S, and housekeeping policies and use personal protective equipment. Ensure aircraft interior is protected (PTP). Assist in the development and implementation of related initiatives. . Perform repairs on installations that require a high degree of accuracy and timeliness. . Assist in training subordinates in proper techniques, processes and procedures. . Perform other duties as assigned. Other Requirements: Thorough knowledge of manufacturing procedures and specifications, plant safety, tooling, and quality requirements. Familiar with CATIA V5 and Solumina software. Must have an established track record of troubleshooting manufacturing or installation processes. Proficient knowledge of all applicable machinery and processes necessary to perform the job including but not limited to (lathe, mill, surface grinder, contour roller, cold working tools, general sheet metal tools, UV curable coatings, sanding equipment, table saw, drill press, router, chop saw, time saver, jointer, planner, band saw, edge banding sander, disk sanders, resaw Foam Saws, Pin saw, general Upholstery tools, Surgers, Sewing machine, toning, stripping (chemical/heat), touch-up, spraying, buffing, staining, painting, paint color matching, etc.). Strong written and verbal communication skills. Must possess leadership skills and the ability to communicate and impart knowledge to others. Must have ability to lift up to 50 pounds. Must be able to work any shift. Must be able to read, write, speak, and understand the English language. This job requires one to be able to read, write, speak, and understand the English language. Additional Information Requisition Number: 231081 Category: Operations Percentage of Travel: Up to 25% Shift: Multiple Shifts Employment Type: Full-time Posting End Date: 07/31/2026 Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Gulfstream does not provide work visa sponsorship for this position, unless the applicant is a currently sponsored Gulfstream employee. Legal Information Site Utilities Contacts Sitemap Copyright 2025 Gulfstream Aerospace Corporation. All Rights Reserved. A General Dynamics Company . Gulfstream Aerospace Corporation, a wholly-owned subsidiary of General Dynamics (NYSE: GD), designs, develops, manufactures, markets, services and supports the world's most technologically-advanced business jet aircraft
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is hiring a Senior Product Design Electrical Engineer with Busduct and/or Tap-Off Box (TOB) experience for our Electrical Products and Services team. The Electrical Products and Services Team is AWS's Data Center Engineering global engineering team, responsible for the design and continuous innovation for products used within our rapidly expanding data center footprint. The Electrical Products and Services team works to design and develop resilient, cost-effective electrical distribution products and systems. As an engineer at Amazon, we are responsible for achieving world class uptime for our customers. We drive continuous advancements and improvements with our designs and communicate technical direction to Senior Leadership. We seek new ways to enhance the reliability, scalability, and cost effectiveness of our engineering designs. As an engineer at Amazon, you can design, innovate, and improve the products our customers rely on. Amazon offers a fast-paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. If you are a natural leader, smart and worked with high performing team of engineers that enjoys working with complex problems we want you! At Amazon, you will be responsible for working on product designs and supporting our wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost. At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a product engineer at Amazon, you will be working with other internal groups as well as external groups including engineering service providers, manufacturers, vendors, inspectors, third party testing labs and contractors. Amazon has a global presence. Travel will be necessary but shouldn't be more than 30%. International support will be part of the job, and some international travel may be necessary. Your contribution could consist of leading international projects and could require developing engineering information packages. An understanding of international electrical product design requirements is helpful but not necessary. Key job responsibilities - Work with internal partner teams to solicit customer input and define design requirements for product design. - Lead new product design, development and qualification of critical electrical power distribution equipment for AWS datacenters with primary focus on busduct systems and tap-off boxes (TOBs) as well as connecting dependencies with LV switchgear , power distribution cabinets, and rack-level power delivery. - Develop Capex and Opex spending budgets taking into account development costs with vendors, prototyping needs, testing and specialized tooling requirements. - Work with global suppliers and manufacturers to specify appropriate busduct and TOB components, ensuring tier 2-3 supply chain resiliency. - Ensure compliance with UL, CSA, IEC and federal, state and municipal requirements and building codes across different countries through appropriate levels of testing. - Validate design through prototype, pre-production and first-of-kind builds, conducting DFx and value engineering analysis through each step and updating design and documentation. - Work with field engineering and commissioning teams to properly test and validate installation, operation, and performance of busduct and TOB products. - Ability to provide support for manufacturing activities for the new products on concurrent projects in multiple geographical locations. - Be a leader within the product development team as well as within internal and external teams that support the data center. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 6+ years of data center design, construction, operations, or facility maintenance experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience developing solutions and executing plans on complex projects - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, COLUMBUS - 136 800.00 USD annually USA, TX, Austin - 136 800.00 USD annually USA, VA, Herndon - 136 800.00 USD annually USA, WA, Seattle - 136 800.00 USD annually
07/27/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is hiring a Senior Product Design Electrical Engineer with Busduct and/or Tap-Off Box (TOB) experience for our Electrical Products and Services team. The Electrical Products and Services Team is AWS's Data Center Engineering global engineering team, responsible for the design and continuous innovation for products used within our rapidly expanding data center footprint. The Electrical Products and Services team works to design and develop resilient, cost-effective electrical distribution products and systems. As an engineer at Amazon, we are responsible for achieving world class uptime for our customers. We drive continuous advancements and improvements with our designs and communicate technical direction to Senior Leadership. We seek new ways to enhance the reliability, scalability, and cost effectiveness of our engineering designs. As an engineer at Amazon, you can design, innovate, and improve the products our customers rely on. Amazon offers a fast-paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. If you are a natural leader, smart and worked with high performing team of engineers that enjoys working with complex problems we want you! At Amazon, you will be responsible for working on product designs and supporting our wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost. At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a product engineer at Amazon, you will be working with other internal groups as well as external groups including engineering service providers, manufacturers, vendors, inspectors, third party testing labs and contractors. Amazon has a global presence. Travel will be necessary but shouldn't be more than 30%. International support will be part of the job, and some international travel may be necessary. Your contribution could consist of leading international projects and could require developing engineering information packages. An understanding of international electrical product design requirements is helpful but not necessary. Key job responsibilities - Work with internal partner teams to solicit customer input and define design requirements for product design. - Lead new product design, development and qualification of critical electrical power distribution equipment for AWS datacenters with primary focus on busduct systems and tap-off boxes (TOBs) as well as connecting dependencies with LV switchgear , power distribution cabinets, and rack-level power delivery. - Develop Capex and Opex spending budgets taking into account development costs with vendors, prototyping needs, testing and specialized tooling requirements. - Work with global suppliers and manufacturers to specify appropriate busduct and TOB components, ensuring tier 2-3 supply chain resiliency. - Ensure compliance with UL, CSA, IEC and federal, state and municipal requirements and building codes across different countries through appropriate levels of testing. - Validate design through prototype, pre-production and first-of-kind builds, conducting DFx and value engineering analysis through each step and updating design and documentation. - Work with field engineering and commissioning teams to properly test and validate installation, operation, and performance of busduct and TOB products. - Ability to provide support for manufacturing activities for the new products on concurrent projects in multiple geographical locations. - Be a leader within the product development team as well as within internal and external teams that support the data center. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 6+ years of data center design, construction, operations, or facility maintenance experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience developing solutions and executing plans on complex projects - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, COLUMBUS - 136 800.00 USD annually USA, TX, Austin - 136 800.00 USD annually USA, VA, Herndon - 136 800.00 USD annually USA, WA, Seattle - 136 800.00 USD annually
Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Sr. Specialist, Application Development develops and maintains software applications and develops programs in required language to meet project schedule. The incumbent maintains and supports existing software applications, identifies and resolves basic application issues and bugs; escalates complex application issues to management for resolution. Assists in the configuration and administration of the Company's systems or applications to ensure changes are methodologically planned, executed and verified. Develop and maintain applications within the auto lending / consumer finance originations domain Leverage AI-driven development tools and practices to improve code quality, accelerate delivery, and enhance team productivity Navigate a complex enterprise environment with multiple stakeholders, legacy systems, and rigorous change-management processes while maintaining a solution-oriented mindset Assists in the configuration and administration of the Company's systems or applications to ensure changes are methodologically planned, executed and verified. Assists in analyzing and deploying hardware or software updates and other patch management directives. Responds to inquiries and refers issues to the appropriate department or person, and exhibits the necessary follow through with customers and/or staff involved. Contribute to the implementation of all IT related policies and procedures. Recommends enhancements to existing software and applications to improve effectiveness. Configure and administer systems or applications to ensure changes are methodologically planned, executed and verified. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Ability to effectively use AI-assisted coding tools to augment development productivity Openness to adopting emerging AI technologies and integrating them into daily engineering practices Patience and persistence when working within enterprise-scale systems that involve extensive review cycles, regulatory requirements, and cross-functional coordination Resilience and adaptability in a fast-paced, highly regulated financial services environment where priorities can shift and obstacles require creative problem-solving Comfort operating in environments with complex deployment processes, multiple approval gates, and strict compliance standards Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: 3+ Years Information Technology, Technical Application Development, or similar experience. - Required. 3+ Years Experience providing customer support for IT systems or applications. - Preferred. 3+ Years Experience writing technical documentation for both technical and nontechnical audiences. - Preferred. Analytical and problem-solving skills. 3+ years' experience with C# and .NET (Core and/or Framework) - Required Experience with Angular or similar front-end frameworks - Preferred Experience with SQL Server and relational database design - Preferred Experience building and consuming RESTful Web APIs - Preferred Familiarity with CI/CD pipelines (Azure DevOps preferred) - Preferred Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, AI code generation, AI-powered code review) to accelerate software delivery - Preferred Familiarity with prompt engineering and integrating AI/ML capabilities into development workflows - Preferred Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $76,875.00 USD Maximum: $130,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
07/27/2026
Full time
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Sr. Specialist, Application Development develops and maintains software applications and develops programs in required language to meet project schedule. The incumbent maintains and supports existing software applications, identifies and resolves basic application issues and bugs; escalates complex application issues to management for resolution. Assists in the configuration and administration of the Company's systems or applications to ensure changes are methodologically planned, executed and verified. Develop and maintain applications within the auto lending / consumer finance originations domain Leverage AI-driven development tools and practices to improve code quality, accelerate delivery, and enhance team productivity Navigate a complex enterprise environment with multiple stakeholders, legacy systems, and rigorous change-management processes while maintaining a solution-oriented mindset Assists in the configuration and administration of the Company's systems or applications to ensure changes are methodologically planned, executed and verified. Assists in analyzing and deploying hardware or software updates and other patch management directives. Responds to inquiries and refers issues to the appropriate department or person, and exhibits the necessary follow through with customers and/or staff involved. Contribute to the implementation of all IT related policies and procedures. Recommends enhancements to existing software and applications to improve effectiveness. Configure and administer systems or applications to ensure changes are methodologically planned, executed and verified. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Ability to effectively use AI-assisted coding tools to augment development productivity Openness to adopting emerging AI technologies and integrating them into daily engineering practices Patience and persistence when working within enterprise-scale systems that involve extensive review cycles, regulatory requirements, and cross-functional coordination Resilience and adaptability in a fast-paced, highly regulated financial services environment where priorities can shift and obstacles require creative problem-solving Comfort operating in environments with complex deployment processes, multiple approval gates, and strict compliance standards Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: 3+ Years Information Technology, Technical Application Development, or similar experience. - Required. 3+ Years Experience providing customer support for IT systems or applications. - Preferred. 3+ Years Experience writing technical documentation for both technical and nontechnical audiences. - Preferred. Analytical and problem-solving skills. 3+ years' experience with C# and .NET (Core and/or Framework) - Required Experience with Angular or similar front-end frameworks - Preferred Experience with SQL Server and relational database design - Preferred Experience building and consuming RESTful Web APIs - Preferred Familiarity with CI/CD pipelines (Azure DevOps preferred) - Preferred Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, AI code generation, AI-powered code review) to accelerate software delivery - Preferred Familiarity with prompt engineering and integrating AI/ML capabilities into development workflows - Preferred Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $76,875.00 USD Maximum: $130,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
Position Title: Additive Manufacturing Field Technician Description: About this opportunity: The Additive Manufacturing Field Technician provides on-site preventative and corrective maintenance service, including installation of assigned additive manufacturing equipment at customer facilities. In this role, you will support customers with equipment service needs, help ensure reliable machine performance, and provide technical assistance as needed while working both remotely and in the field. This opportunity is focused in the Atlanta, GA area , with flexibility to work from home or the office when not traveling, depending on business needs. GoEngineer is a provider of the most compelling design platforms in the industry, deploying engineering software and 3D printing technology to make the design process innovative, efficient, and intelligent. In this role, you will join a team that supports advanced manufacturing equipment in real-world customer environments and helps deliver a strong service experience across a wide geographic area. Your key contributions in this role will be: Perform installation of assigned additive manufacturing equipment for customers and support operator onboarding as needed. Provide on-site preventative and corrective maintenance to help customers keep equipment running effectively. Travel to customer locations in the Atlanta, GA region and, at times, to other locations as business needs require. Troubleshoot mechanical, electrical, and system-related equipment issues and work toward timely resolution. Build strong working relationships with customers through professional, responsive field service support. Serve as a point of contact during service events and help communicate status, issues, and next steps clearly. Collaborate with internal teams, including managers, technicians, and support resources, to resolve technical challenges. Use available manuals, internal documentation, and team knowledge-sharing tools to support effective field troubleshooting. Educate customers on Stratasys and FormLabs products and corporate initiatives. Evaluate, modify, print, and post process 3D print benchmarks based on prospect data. Participate in hands-on training, shadowing, and ongoing learning to build proficiency across supported equipment. Contribute to a service culture centered on curiosity, continuous learning, and dependable customer support. Complete all administrative responsibilities related to customer service calls, including: Service reports Expense reports Weekly time reports Tracking preventive maintenance and upgrade requirements We are looking for candidates with the below experience and skills, however, even if you do not meet all the listed requirements, very interested candidates should still apply: Prior experience in a field service , maintenance, repair, or technical support environment is preferred. Experience working with Stratasys and/or FormLabs printers is a strong plus. Experience with other 3D printers or additive manufacturing equipment is also highly valued. Transferable experience working on machinery such as CNC equipment, industrial printing equipment, automotive systems, motorcycles, or other electro-mechanical systems is welcomed. Ability to work with tools, follow technical instructions, and perform hands-on troubleshooting. Mechanical and electrical aptitude, with the ability to diagnose issues and think through repairs methodically. Strong analytical and problem-solving skills. Ability to learn technical systems, processes, and documentation in a structured way. Effective communication and customer service skills in a field-facing role. Organizational skills to manage travel, service calls, reporting, and follow-up responsibilities. Personal Attributes Required: Practical, hands-on approach and strong curiosity about how things work. Willingness to ask questions, learn quickly, and use available resources when troubleshooting. Comfort working independently in the field for much of the time. Ability to adapt to a fast-changing environment and shifting travel schedules. Willingness to travel frequently, including overnight travel, with travel levels that may be high depending on service demand. Expected travel is up to 60% Flexibility to work outside standard hours when customer needs or travel schedules require it. Ability to lift approximately 50 lbs. and safely handle parts and equipment components. Candidates should be located within reasonable proximity of the Atlanta, GA area to support office access and field coverage when needed. A strong interest in tinkering, building, repairing, or working with mechanical systems outside of work can be helpful for success in this role. Technical trade school studies or equivalent experience preferred. More about what GoEngineer offers: At GoEngineer, we understand that our value comes from our employees, and we celebrate and respect their unique experiences. We are working to build a culture where both our employees and customers are centered in the work we do, and employees feel welcomed as they are from the first day. Generous Benefits Include: • Participation in GoEngineer's PTO program from day one of employment. • 401(k) retirement plan with up to a 6% company match, 100% vested on day one. • Comprehensive medical coverage, including PPO and High Deductible plans with FSA/HSA options and employer HSA contributions. • Paid Family Leave, including paid pregnancy disability leave and paid parental bonding leave. • Employer paid Life Insurance policy, & Short Term, and Long Term Disability insurance, with optional supplemental coverage. • Dental and Vision insurance • Mental health, telemedicine with 24/7 access to medical providers, and wellness programs, including virtual therapy, nutrition counseling, and physical therapy. • Fertility, adoption, and family building benefits. • Employee Assistance Program (EAP) offering free, confidential counseling and support for mental health, legal, financial, and family needs. • Optional voluntary benefits, including accident insurance, hospital indemnity, critical illness coverage, identity theft protection, pet insurance, plus student loan repayment and prescription cost savings programs. To support a fair and efficient hiring process, we may use AI technology to summarize interviews and help our teams review information consistently. AI does not evaluate candidates or make hiring decisions. All decisions are made by our human hiring team. Department: Hardware - Technical Role: Field Service Technician Location: Suwanee RemoteStatus: Hybrid Salary: $24 - $26 Compensation details: 24-26 PIe6aa37ce98d2-0929
07/27/2026
Full time
Position Title: Additive Manufacturing Field Technician Description: About this opportunity: The Additive Manufacturing Field Technician provides on-site preventative and corrective maintenance service, including installation of assigned additive manufacturing equipment at customer facilities. In this role, you will support customers with equipment service needs, help ensure reliable machine performance, and provide technical assistance as needed while working both remotely and in the field. This opportunity is focused in the Atlanta, GA area , with flexibility to work from home or the office when not traveling, depending on business needs. GoEngineer is a provider of the most compelling design platforms in the industry, deploying engineering software and 3D printing technology to make the design process innovative, efficient, and intelligent. In this role, you will join a team that supports advanced manufacturing equipment in real-world customer environments and helps deliver a strong service experience across a wide geographic area. Your key contributions in this role will be: Perform installation of assigned additive manufacturing equipment for customers and support operator onboarding as needed. Provide on-site preventative and corrective maintenance to help customers keep equipment running effectively. Travel to customer locations in the Atlanta, GA region and, at times, to other locations as business needs require. Troubleshoot mechanical, electrical, and system-related equipment issues and work toward timely resolution. Build strong working relationships with customers through professional, responsive field service support. Serve as a point of contact during service events and help communicate status, issues, and next steps clearly. Collaborate with internal teams, including managers, technicians, and support resources, to resolve technical challenges. Use available manuals, internal documentation, and team knowledge-sharing tools to support effective field troubleshooting. Educate customers on Stratasys and FormLabs products and corporate initiatives. Evaluate, modify, print, and post process 3D print benchmarks based on prospect data. Participate in hands-on training, shadowing, and ongoing learning to build proficiency across supported equipment. Contribute to a service culture centered on curiosity, continuous learning, and dependable customer support. Complete all administrative responsibilities related to customer service calls, including: Service reports Expense reports Weekly time reports Tracking preventive maintenance and upgrade requirements We are looking for candidates with the below experience and skills, however, even if you do not meet all the listed requirements, very interested candidates should still apply: Prior experience in a field service , maintenance, repair, or technical support environment is preferred. Experience working with Stratasys and/or FormLabs printers is a strong plus. Experience with other 3D printers or additive manufacturing equipment is also highly valued. Transferable experience working on machinery such as CNC equipment, industrial printing equipment, automotive systems, motorcycles, or other electro-mechanical systems is welcomed. Ability to work with tools, follow technical instructions, and perform hands-on troubleshooting. Mechanical and electrical aptitude, with the ability to diagnose issues and think through repairs methodically. Strong analytical and problem-solving skills. Ability to learn technical systems, processes, and documentation in a structured way. Effective communication and customer service skills in a field-facing role. Organizational skills to manage travel, service calls, reporting, and follow-up responsibilities. Personal Attributes Required: Practical, hands-on approach and strong curiosity about how things work. Willingness to ask questions, learn quickly, and use available resources when troubleshooting. Comfort working independently in the field for much of the time. Ability to adapt to a fast-changing environment and shifting travel schedules. Willingness to travel frequently, including overnight travel, with travel levels that may be high depending on service demand. Expected travel is up to 60% Flexibility to work outside standard hours when customer needs or travel schedules require it. Ability to lift approximately 50 lbs. and safely handle parts and equipment components. Candidates should be located within reasonable proximity of the Atlanta, GA area to support office access and field coverage when needed. A strong interest in tinkering, building, repairing, or working with mechanical systems outside of work can be helpful for success in this role. Technical trade school studies or equivalent experience preferred. More about what GoEngineer offers: At GoEngineer, we understand that our value comes from our employees, and we celebrate and respect their unique experiences. We are working to build a culture where both our employees and customers are centered in the work we do, and employees feel welcomed as they are from the first day. Generous Benefits Include: • Participation in GoEngineer's PTO program from day one of employment. • 401(k) retirement plan with up to a 6% company match, 100% vested on day one. • Comprehensive medical coverage, including PPO and High Deductible plans with FSA/HSA options and employer HSA contributions. • Paid Family Leave, including paid pregnancy disability leave and paid parental bonding leave. • Employer paid Life Insurance policy, & Short Term, and Long Term Disability insurance, with optional supplemental coverage. • Dental and Vision insurance • Mental health, telemedicine with 24/7 access to medical providers, and wellness programs, including virtual therapy, nutrition counseling, and physical therapy. • Fertility, adoption, and family building benefits. • Employee Assistance Program (EAP) offering free, confidential counseling and support for mental health, legal, financial, and family needs. • Optional voluntary benefits, including accident insurance, hospital indemnity, critical illness coverage, identity theft protection, pet insurance, plus student loan repayment and prescription cost savings programs. To support a fair and efficient hiring process, we may use AI technology to summarize interviews and help our teams review information consistently. AI does not evaluate candidates or make hiring decisions. All decisions are made by our human hiring team. Department: Hardware - Technical Role: Field Service Technician Location: Suwanee RemoteStatus: Hybrid Salary: $24 - $26 Compensation details: 24-26 PIe6aa37ce98d2-0929
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Specialist, Systems Engineer (Systems/Software) Job Code: 40367 Job Location: Camden, NJ (on-site) Schedule: 9/80 Regular Schedule ( 9/80 Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off ) L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. About L3Harris Technologies - Maritime Power Systems: L3Harris Technologies Power Systems is an agile defense technology innovator, delivering end-to-end solutions for the US Navy Shipbuilding programs. With capabilities in ship control systems, manufacturing and turn-key ship overhauls that meet customers' mission-critical needs. JOB DESCRIPTION: This Systems Software Engineer will be responsible for designing, building and delivering a wide range of safety critical, cybersecure power solutions to military customers. Leading or participation in all stages of the systems/software development life cycle (SDLC). The System Engineering portion of this role is to ensure the final system meets or exceeds all customer system requirements. The systems portion of this role involves working closely with electrical, mechanical, software and test engineers to capture system requirements and develop traceable contract SDRL documentation, customer specifications and operators' manuals when required. Also work with Program Managers and Project Engineers to develop proposals, project schedules and participate in customer reviews of design and test artifacts. The Software Engineering portion of this role involves designing, developing, testing, and maintaining software applications and systems. For most products this involves formal software design and test documentation traceable to system requirements. PS software products require high reliability, safety critical, and cybersecure software operation with built in test features for mission critical power systems and switchgear. Coding effort can span from low level embedded DSP or ARM based controllers previously written in ASM/C/C++ to coding for Human Machine Interface (GUI design) in C# or other GUI based language. IRAD Development may include hardware and software prototypes for proof-of-concept efforts involving the design and test of new embedded software with built in test features for integration with hardware and support for final qualification testing. Essential Functions: Lead and represent the organization on technical aspects of assigned projects, including peer reviews and resolution of difficult technical issues. Coordinate system level requirements internally and among subcontractors and suppliers. Support evaluating, planning, and estimation of tasks. Generate design review materials and communicate design decisions. Adhere to budget and schedule commitments. Capable of providing technical supervision and training/mentoring to lower-level engineers. Develop subsystem architecture artifacts, including block diagrams, functional allocations, interfaces, and timing diagrams. Prepare system and subsystem level specifications. Generate Test Plans for systems and subsystems to ensure validation of requirements. Creation of Documentation in accordance with internal and/or customer standards. Risk identification and migration planning. Trade-off analysis and strategy. Represents organization in providing solutions to difficult technical issues associated with specific projects. Develop, maintain, and continuously improve Systems Engineering design, validation, and qualification processes . Comfortable working in a multi-disciplined engineering group to achieve results. Ability to handle multiple tasks in a fast-paced, constantly changing environment. Ability to work both independently and as part of a team. Travel up to 10% as needed. Ability to obtain and maintain a US Security Clearance. Qualifications: Bachelors and minimum 6 years prior experience or Master's Degree with a minimum of 4 years' experience in Systems Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field. At least 4 years of experience with systems engineering background, and knowledge of lifecycle and standards. Experience with system engineering principles including requirements writing, modeling, and verification testing. Experience with C programming and familiarity with Assembly. Experience writing systems and software test procedures. Knowledge of systems utilizing embedded software. Up to date on current Systems Engineering trends, technology, and tools (including DOORS and JIRA). Proven track record of working through customer requirements to technical requirements to product solutions. Experience reading PCB designs. Working knowledge of standard system engineering processes such as: MIL-STD-499, EIA-632, IEEE 1220 or ISO 15288. Technical writing experience, including experience generating and presenting technical documents to internal and external customers. Preferred Additional Skills: Active Secret clearance. Experience overseeing the systems/software development life cycle (SDLC). Experience with development of high-power electrical devices and interfaces Experience with PCB development and test jigs and test utilities for production Experience with administering projects using Atlassian JIRA, Confluence, Bitbucket Experience with embedded processors including ARM, INTEL, TI TMS320 DSP micros Experience with JTAG/ICE programming and build versus runtime software image verification methods (CRC, HASH128,256 ) Experience with various code development tools: Visual Studio IDE Texas Instruments Code Composer Studio IDE Python IDE Keil uVision IDE Intel Quartis FPGA IDE Experience administering Software and Systems configuration management Server: Atlassian Jira, Fisheye and Crucible Server and Clients management SVN Server and Clients management PostGRE SQL database IBM DOORs GIT and BitBucket Strong ability to communicate at different levels depending upon target audience. Examples include technical presentations to current customers as well as defense of proposals for future business. In compliance with pay transparency requirements, the salary range for this role is $106,500 - $197,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition . click apply for full job details
07/27/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Specialist, Systems Engineer (Systems/Software) Job Code: 40367 Job Location: Camden, NJ (on-site) Schedule: 9/80 Regular Schedule ( 9/80 Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off ) L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. About L3Harris Technologies - Maritime Power Systems: L3Harris Technologies Power Systems is an agile defense technology innovator, delivering end-to-end solutions for the US Navy Shipbuilding programs. With capabilities in ship control systems, manufacturing and turn-key ship overhauls that meet customers' mission-critical needs. JOB DESCRIPTION: This Systems Software Engineer will be responsible for designing, building and delivering a wide range of safety critical, cybersecure power solutions to military customers. Leading or participation in all stages of the systems/software development life cycle (SDLC). The System Engineering portion of this role is to ensure the final system meets or exceeds all customer system requirements. The systems portion of this role involves working closely with electrical, mechanical, software and test engineers to capture system requirements and develop traceable contract SDRL documentation, customer specifications and operators' manuals when required. Also work with Program Managers and Project Engineers to develop proposals, project schedules and participate in customer reviews of design and test artifacts. The Software Engineering portion of this role involves designing, developing, testing, and maintaining software applications and systems. For most products this involves formal software design and test documentation traceable to system requirements. PS software products require high reliability, safety critical, and cybersecure software operation with built in test features for mission critical power systems and switchgear. Coding effort can span from low level embedded DSP or ARM based controllers previously written in ASM/C/C++ to coding for Human Machine Interface (GUI design) in C# or other GUI based language. IRAD Development may include hardware and software prototypes for proof-of-concept efforts involving the design and test of new embedded software with built in test features for integration with hardware and support for final qualification testing. Essential Functions: Lead and represent the organization on technical aspects of assigned projects, including peer reviews and resolution of difficult technical issues. Coordinate system level requirements internally and among subcontractors and suppliers. Support evaluating, planning, and estimation of tasks. Generate design review materials and communicate design decisions. Adhere to budget and schedule commitments. Capable of providing technical supervision and training/mentoring to lower-level engineers. Develop subsystem architecture artifacts, including block diagrams, functional allocations, interfaces, and timing diagrams. Prepare system and subsystem level specifications. Generate Test Plans for systems and subsystems to ensure validation of requirements. Creation of Documentation in accordance with internal and/or customer standards. Risk identification and migration planning. Trade-off analysis and strategy. Represents organization in providing solutions to difficult technical issues associated with specific projects. Develop, maintain, and continuously improve Systems Engineering design, validation, and qualification processes . Comfortable working in a multi-disciplined engineering group to achieve results. Ability to handle multiple tasks in a fast-paced, constantly changing environment. Ability to work both independently and as part of a team. Travel up to 10% as needed. Ability to obtain and maintain a US Security Clearance. Qualifications: Bachelors and minimum 6 years prior experience or Master's Degree with a minimum of 4 years' experience in Systems Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field. At least 4 years of experience with systems engineering background, and knowledge of lifecycle and standards. Experience with system engineering principles including requirements writing, modeling, and verification testing. Experience with C programming and familiarity with Assembly. Experience writing systems and software test procedures. Knowledge of systems utilizing embedded software. Up to date on current Systems Engineering trends, technology, and tools (including DOORS and JIRA). Proven track record of working through customer requirements to technical requirements to product solutions. Experience reading PCB designs. Working knowledge of standard system engineering processes such as: MIL-STD-499, EIA-632, IEEE 1220 or ISO 15288. Technical writing experience, including experience generating and presenting technical documents to internal and external customers. Preferred Additional Skills: Active Secret clearance. Experience overseeing the systems/software development life cycle (SDLC). Experience with development of high-power electrical devices and interfaces Experience with PCB development and test jigs and test utilities for production Experience with administering projects using Atlassian JIRA, Confluence, Bitbucket Experience with embedded processors including ARM, INTEL, TI TMS320 DSP micros Experience with JTAG/ICE programming and build versus runtime software image verification methods (CRC, HASH128,256 ) Experience with various code development tools: Visual Studio IDE Texas Instruments Code Composer Studio IDE Python IDE Keil uVision IDE Intel Quartis FPGA IDE Experience administering Software and Systems configuration management Server: Atlassian Jira, Fisheye and Crucible Server and Clients management SVN Server and Clients management PostGRE SQL database IBM DOORs GIT and BitBucket Strong ability to communicate at different levels depending upon target audience. Examples include technical presentations to current customers as well as defense of proposals for future business. In compliance with pay transparency requirements, the salary range for this role is $106,500 - $197,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition . click apply for full job details
Sr. Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Sr. Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: -Medium and low voltage power systems -Generators -UPS -HVAC (Air Handlers / Exhaust Fans / VFD) -Chilled Water Systems -Building Management systems (BMS) -Electrical Power Monitoring Systems (EPMS) -Testing and balancing -Pumps and Hydronic systems Physical Requirements Walk job sites in uneven terrain Work at heights and from ladders Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more Carry objects weighing up to 49 pounds for short distances Work shifts longer than eight hours in duration with potential for night and weekends Perform physical tasks throughout the day without becoming overly tired Ability to manipulate small wires and objects easily Work in a noisy environment Work in environments that are colder or hotter than a normal office environment Additional Job Requirements Ability and willingness to travel domestic and internationally for up to 80% of the year. Required to provide personal transportation for meetings and job visits away from the office; reimbursed. U.S Citizenship Required Key job responsibilities The Commissioning Engineer (CxE) provides testing and validation oversight of AWS data center electrical and mechanical infrastructure. CxEs review design documents, lead Factory Witness Testing (FWT), and manage third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. They take Ownership of their projects' successes by Diving Deep to resolve technical issues and having Bias for Action to address everchanging schedule and coordination demands onsite. Additionally, CxEs communicate lessons learned and continuously collaborate on program improvements. The CxE shall provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the CxE will be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the CxE will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and short timelines. A day in the life On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program. About the team The AWS Data Center Commissioning Team (ACx) is a wholly independent business within the DCGS organization. This team of veteran professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Architectural Engineers, Project Managers, Operators and seasoned Amazonians are uniquely positioned to provide deeply detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. We are focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of manufacturer/contractor/equipment issues pre-PFHO, and identifying opportunities for all our peers and customers. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience - High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others. - Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design. - Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements. PREFERRED QUALIFICATIONS - Advanced knowledge Microsoft Office Suite - Word, Excel, Outlook required; advanced knowledge of SharePoint (or similar) preferred - Strong communication skills, detail oriented, highly organized, and able to work in high stress environments to maintain calm and respectful interaction with multiple teams - Advanced knowledge of mechanical, electrical, and controls systems for critical infrastructures - Ability to read and edit construction documents (design drawings, control diagrams, specifications, etc.) - Experience developing and executing test procedures for mechanical or electrical systems/components based on design intent and approved equipment submittals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP . click apply for full job details
07/27/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: -Medium and low voltage power systems -Generators -UPS -HVAC (Air Handlers / Exhaust Fans / VFD) -Chilled Water Systems -Building Management systems (BMS) -Electrical Power Monitoring Systems (EPMS) -Testing and balancing -Pumps and Hydronic systems Physical Requirements Walk job sites in uneven terrain Work at heights and from ladders Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more Carry objects weighing up to 49 pounds for short distances Work shifts longer than eight hours in duration with potential for night and weekends Perform physical tasks throughout the day without becoming overly tired Ability to manipulate small wires and objects easily Work in a noisy environment Work in environments that are colder or hotter than a normal office environment Additional Job Requirements Ability and willingness to travel domestic and internationally for up to 80% of the year. Required to provide personal transportation for meetings and job visits away from the office; reimbursed. U.S Citizenship Required Key job responsibilities The Commissioning Engineer (CxE) provides testing and validation oversight of AWS data center electrical and mechanical infrastructure. CxEs review design documents, lead Factory Witness Testing (FWT), and manage third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. They take Ownership of their projects' successes by Diving Deep to resolve technical issues and having Bias for Action to address everchanging schedule and coordination demands onsite. Additionally, CxEs communicate lessons learned and continuously collaborate on program improvements. The CxE shall provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the CxE will be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning the CxE will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects and short timelines. A day in the life On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program. About the team The AWS Data Center Commissioning Team (ACx) is a wholly independent business within the DCGS organization. This team of veteran professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Architectural Engineers, Project Managers, Operators and seasoned Amazonians are uniquely positioned to provide deeply detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. We are focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of manufacturer/contractor/equipment issues pre-PFHO, and identifying opportunities for all our peers and customers. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience - High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others. - Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design. - Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements. PREFERRED QUALIFICATIONS - Advanced knowledge Microsoft Office Suite - Word, Excel, Outlook required; advanced knowledge of SharePoint (or similar) preferred - Strong communication skills, detail oriented, highly organized, and able to work in high stress environments to maintain calm and respectful interaction with multiple teams - Advanced knowledge of mechanical, electrical, and controls systems for critical infrastructures - Ability to read and edit construction documents (design drawings, control diagrams, specifications, etc.) - Experience developing and executing test procedures for mechanical or electrical systems/components based on design intent and approved equipment submittals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP . click apply for full job details
Painter/Utility Worker Location: Sparks, NV Job Type: Full time Requisition ID: JR100041 RIX Industries is a technology-focused company specializing in the design, development and manufacturing of gas generation systems, precision compressor solutions, and cryogenic cooling technologies for critical applications in Marine, Aerospace, Land, Energy, Industrial, Medical, and Critical Infrastructure markets. Founded in 1878, the company is headquartered in Benicia, CA, and operates additional facilities in Sparks, NV. Position Summary The Painter/Utility Worker is primarily responsible for the overall support and assistance with the prepping and painting of compressors to include packaging and production. Responsibilities Provide quality, on time painting of compressors, generators, and associated parts. Working with production supervisor for prioritization of work orders to complete on time delivery painted components Mask/Prep/Clean all components before applying primer/paint. Maintain all paint logs per Rix policies. Adhere to all safety rules, regulations, and practices. Maintain the paint booth and equipment as directed and complete weekly 5S Cleanings/audits; both in and outside. Notify supervisors of adequate levels of supplies and tools for completion of assigned tasks. Participate in all cross-training programs as directed by supervisor. Adhere to all company rules and policies. Perform all other duties in the best interest of the company or as directed by the Director of Operations and/or Production and Manufacturing Manager. Forklift certification necessary to move and transport components. All Other Duties as Assigned Minimum Qualifications Pass and maintain painter qualification courses. Technical school or equivalent combination of education and/or work experience. Valid Driver's license with no restrictions for insurance purposes. Ability to read and understand structural drawing, schematics and operating manuals. Ability to perform calculations such as percentages, ratios and fractions. Ability to learn basic computer skills and ability to adapt to a variety of software applications. Ability to understand the use and application of air and gas compressors and generators and basic manufacturing tooling and equipment. Ability to communicate with others to exchange information both orally and in writing. Citizenship: U.S. Citizen or qualified U.S. Person in accordance with ALU 22CFR 120.15. May require the ability to obtain DOD security clearance. Preferred Qualifications Advanced coursework in any mechanical assembly discipline. Specific experience in the manufacture of air and gas compressors and generators a plus. Painting of industrial equipment Physical Requirements 1. This position is regularly exposed to the following conditions: Manufacturing, warehouse and office environment. While working near moving equipment, mechanical parts and lift trucks; must have the ability to follow safe operating procedures. May be exposed to loud noise, fumes and/or toxic chemicals. 2. Must have the following physical abilities: Ability to stoop, kneel, crouch, bend, stretch, reach, and lift. Ability to lift up to 50 pounds regularly. Ability to sit or stand for extended periods at a desk or table as well as machine tools or printers. Compensation $22.00 + DOE Equal Opportunity RIX Industries is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with RIX Industries, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations). About RIX Industries RIX Industries is a global leader in the design, development, and manufacturing of hydrogen and gas generation systems, precision compression solutions, and cryogenic cooling technologies. Company innovation extends to newer technologies with universal impact, including pioneering hydrogen-on-demand systems for critical infrastructure initiatives worldwide. We take our 'focused on the future' mantra seriously - whether we're supporting lifesaving oxygen generation strategies for remote medical facilities, solving complex applications featuring industrial gases, providing mission critical technologies for our military, or engineering clean power solutions for land and sea. Infrastructure is at the forefront of our vision, and we're poised to play a critical role in shifting the world to cleaner, safer, better ways of living and conducting business. At RIX, every employee is an integral part of this big picture. PIb512303e67f6-6920
07/27/2026
Full time
Painter/Utility Worker Location: Sparks, NV Job Type: Full time Requisition ID: JR100041 RIX Industries is a technology-focused company specializing in the design, development and manufacturing of gas generation systems, precision compressor solutions, and cryogenic cooling technologies for critical applications in Marine, Aerospace, Land, Energy, Industrial, Medical, and Critical Infrastructure markets. Founded in 1878, the company is headquartered in Benicia, CA, and operates additional facilities in Sparks, NV. Position Summary The Painter/Utility Worker is primarily responsible for the overall support and assistance with the prepping and painting of compressors to include packaging and production. Responsibilities Provide quality, on time painting of compressors, generators, and associated parts. Working with production supervisor for prioritization of work orders to complete on time delivery painted components Mask/Prep/Clean all components before applying primer/paint. Maintain all paint logs per Rix policies. Adhere to all safety rules, regulations, and practices. Maintain the paint booth and equipment as directed and complete weekly 5S Cleanings/audits; both in and outside. Notify supervisors of adequate levels of supplies and tools for completion of assigned tasks. Participate in all cross-training programs as directed by supervisor. Adhere to all company rules and policies. Perform all other duties in the best interest of the company or as directed by the Director of Operations and/or Production and Manufacturing Manager. Forklift certification necessary to move and transport components. All Other Duties as Assigned Minimum Qualifications Pass and maintain painter qualification courses. Technical school or equivalent combination of education and/or work experience. Valid Driver's license with no restrictions for insurance purposes. Ability to read and understand structural drawing, schematics and operating manuals. Ability to perform calculations such as percentages, ratios and fractions. Ability to learn basic computer skills and ability to adapt to a variety of software applications. Ability to understand the use and application of air and gas compressors and generators and basic manufacturing tooling and equipment. Ability to communicate with others to exchange information both orally and in writing. Citizenship: U.S. Citizen or qualified U.S. Person in accordance with ALU 22CFR 120.15. May require the ability to obtain DOD security clearance. Preferred Qualifications Advanced coursework in any mechanical assembly discipline. Specific experience in the manufacture of air and gas compressors and generators a plus. Painting of industrial equipment Physical Requirements 1. This position is regularly exposed to the following conditions: Manufacturing, warehouse and office environment. While working near moving equipment, mechanical parts and lift trucks; must have the ability to follow safe operating procedures. May be exposed to loud noise, fumes and/or toxic chemicals. 2. Must have the following physical abilities: Ability to stoop, kneel, crouch, bend, stretch, reach, and lift. Ability to lift up to 50 pounds regularly. Ability to sit or stand for extended periods at a desk or table as well as machine tools or printers. Compensation $22.00 + DOE Equal Opportunity RIX Industries is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with RIX Industries, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations). About RIX Industries RIX Industries is a global leader in the design, development, and manufacturing of hydrogen and gas generation systems, precision compression solutions, and cryogenic cooling technologies. Company innovation extends to newer technologies with universal impact, including pioneering hydrogen-on-demand systems for critical infrastructure initiatives worldwide. We take our 'focused on the future' mantra seriously - whether we're supporting lifesaving oxygen generation strategies for remote medical facilities, solving complex applications featuring industrial gases, providing mission critical technologies for our military, or engineering clean power solutions for land and sea. Infrastructure is at the forefront of our vision, and we're poised to play a critical role in shifting the world to cleaner, safer, better ways of living and conducting business. At RIX, every employee is an integral part of this big picture. PIb512303e67f6-6920
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of technical infrastructure program managers, software engineers, data specialists, supply chain specialists, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for planning and execution while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is hiring a Sr. Product Design Engineer for the Electrical Products and Services engineering team. This electrical product focused team is a part of a global engineering team, responsible for the design and continuous innovation for products used within our rapidly expanding data center foot print. The Electrical Product Engineering team at Amazon works to design and develop resilient, cost-effective electrical distribution products and systems. As engineers at Amazon, we are responsible for achieving a world class uptime for our customers. We justify and communicate the technical decisions we make to senior management and work hard to drive continuous advancements and improvements with our designs. As an engineer at Amazon, you have the ability to drive change and define/design the systems our customers rely on. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. We are seeking a Senior Design Engineer with an Electrical Engineering background with hands-on experience in new product design and development of electrical power distribution equipment and Uninterruptible Power Supply (UPS) systems. If you can design electrical power distribution product/s and equipment, help to successfully test the products per latest codes and standards using third party test laboratories then you will be a good fit. You will directly lead product design and development and be a part of the process from concept to implementation. You must be capable of defining equipment specifications and evaluating the merit of design changes. You will be relied on as a subject matter expert in the product design field At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a product engineer at Amazon, you will be working with other internal groups as well as external groups including engineering service providers, manufacturers, vendors, inspectors, third party testing labs and contractors. Amazon has a global presence. Travel will be necessary but shouldn't be more than 30%. International support will be part of the job, and some international travel may be necessary. Your contribution could consist of leading international projects and could require developing engineering information packages. An understanding of international electrical product design requirements is helpful but not necessary. Key job responsibilities - Supports the Data Center Design Engineering, Principal Engineering, and Hardware Engineering teams to design and develop innovative concepts into new products needed for power distribution for data center. - Lead new product design, development and work with internal teams to understand design requirements and solicit customer input. - Collaborate with other disciplines such as mechanical and structural engineering, reliability, QA/QC and compliance to create well thought out products. - Creation of designs which meet or exceed our quality requirements while delivering a return on investment. - Work with global suppliers and manufacturers to specify appropriate electrical equipment, devices and bill of materials. - Ensure compliance with federal, state and municipal requirements and building codes across different countries. - Prepare, Review and approval of product design and drawings including electrical bill of materials, configuration, layouts, assembly, construction and electrical wiring drawings. - Define project scope and provide technical support for information requests prior to, and during manufacturing phases. - Work with field engineering and commissioning teams to properly set up test processes and validate installation, operation, and performance of electrical products. - Ability to work on concurrent projects in multiple geographical regions. - Be a leader within the group as well as within internal and external teams that support the data center. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in Engineering or a related field - 8+ Years of experience of Electrical Product Design for Power Distribution Equipment or UPS; OR 8+ years of Data Center or Mission-Critical Design, Construction, or Operations PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, COLUMBUS - 136 800.00 USD annually USA, TX, Austin - 136 800.00 USD annually USA, VA, Herndon - 136 800.00 USD annually
07/27/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of technical infrastructure program managers, software engineers, data specialists, supply chain specialists, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for planning and execution while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is hiring a Sr. Product Design Engineer for the Electrical Products and Services engineering team. This electrical product focused team is a part of a global engineering team, responsible for the design and continuous innovation for products used within our rapidly expanding data center foot print. The Electrical Product Engineering team at Amazon works to design and develop resilient, cost-effective electrical distribution products and systems. As engineers at Amazon, we are responsible for achieving a world class uptime for our customers. We justify and communicate the technical decisions we make to senior management and work hard to drive continuous advancements and improvements with our designs. As an engineer at Amazon, you have the ability to drive change and define/design the systems our customers rely on. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. We are seeking a Senior Design Engineer with an Electrical Engineering background with hands-on experience in new product design and development of electrical power distribution equipment and Uninterruptible Power Supply (UPS) systems. If you can design electrical power distribution product/s and equipment, help to successfully test the products per latest codes and standards using third party test laboratories then you will be a good fit. You will directly lead product design and development and be a part of the process from concept to implementation. You must be capable of defining equipment specifications and evaluating the merit of design changes. You will be relied on as a subject matter expert in the product design field At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a product engineer at Amazon, you will be working with other internal groups as well as external groups including engineering service providers, manufacturers, vendors, inspectors, third party testing labs and contractors. Amazon has a global presence. Travel will be necessary but shouldn't be more than 30%. International support will be part of the job, and some international travel may be necessary. Your contribution could consist of leading international projects and could require developing engineering information packages. An understanding of international electrical product design requirements is helpful but not necessary. Key job responsibilities - Supports the Data Center Design Engineering, Principal Engineering, and Hardware Engineering teams to design and develop innovative concepts into new products needed for power distribution for data center. - Lead new product design, development and work with internal teams to understand design requirements and solicit customer input. - Collaborate with other disciplines such as mechanical and structural engineering, reliability, QA/QC and compliance to create well thought out products. - Creation of designs which meet or exceed our quality requirements while delivering a return on investment. - Work with global suppliers and manufacturers to specify appropriate electrical equipment, devices and bill of materials. - Ensure compliance with federal, state and municipal requirements and building codes across different countries. - Prepare, Review and approval of product design and drawings including electrical bill of materials, configuration, layouts, assembly, construction and electrical wiring drawings. - Define project scope and provide technical support for information requests prior to, and during manufacturing phases. - Work with field engineering and commissioning teams to properly set up test processes and validate installation, operation, and performance of electrical products. - Ability to work on concurrent projects in multiple geographical regions. - Be a leader within the group as well as within internal and external teams that support the data center. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in Engineering or a related field - 8+ Years of experience of Electrical Product Design for Power Distribution Equipment or UPS; OR 8+ years of Data Center or Mission-Critical Design, Construction, or Operations PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, COLUMBUS - 136 800.00 USD annually USA, TX, Austin - 136 800.00 USD annually USA, VA, Herndon - 136 800.00 USD annually
Lead AI Engineer (MLX) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Lead AI Engineer (MLX) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Mechanical Engineering (Segment Strategy Lead) Job Code: 40337 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Mechanical Engineering Director to lead cross-sector mechanical engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering Technology & AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's mechanical engineering discipline today. The ideal candidate is a strategic thinker with deep mechanical engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the mechanical engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector mechanical engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for mechanical engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of mechanical engineering tools, infrastructure, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for mechanical engineering Partner with AI Workforce Readiness to ensure AI training programs are tailored to mechanical engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of mechanical engineering strategy, standards, and capability. Occasional travel to various L3Harris locations will be required - Roughly 10-20% Qualifications: Bachelor's degree in Mechanical Engineering or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Active Secret Clearance is required Professional experience leading and developing large mechanical engineering teams across multiple programs or sectors. Professional experience developing engineering team strategies, workforce development plans, and performance management frameworks. Experience leading large DoD proposals with significant mechanical engineering content. Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Experience managing and growing engineering communities of practice across large, distributed organizations. Extensive knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $175,000.00 - $325,000.00. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $152,500.00 - $283,000.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
07/27/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Mechanical Engineering (Segment Strategy Lead) Job Code: 40337 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Mechanical Engineering Director to lead cross-sector mechanical engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering Technology & AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's mechanical engineering discipline today. The ideal candidate is a strategic thinker with deep mechanical engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the mechanical engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector mechanical engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for mechanical engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of mechanical engineering tools, infrastructure, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for mechanical engineering Partner with AI Workforce Readiness to ensure AI training programs are tailored to mechanical engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of mechanical engineering strategy, standards, and capability. Occasional travel to various L3Harris locations will be required - Roughly 10-20% Qualifications: Bachelor's degree in Mechanical Engineering or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Active Secret Clearance is required Professional experience leading and developing large mechanical engineering teams across multiple programs or sectors. Professional experience developing engineering team strategies, workforce development plans, and performance management frameworks. Experience leading large DoD proposals with significant mechanical engineering content. Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Experience managing and growing engineering communities of practice across large, distributed organizations. Extensive knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $175,000.00 - $325,000.00. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $152,500.00 - $283,000.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
