Staff AI Engineer (Remote Eligible) 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor'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, or a Master'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 At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8 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 AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff 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. . click apply for full job details
09/28/2026
Full time
Staff AI Engineer (Remote Eligible) 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor'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, or a Master'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 At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8 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 AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff 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. . click apply for full job details
Director, AI Engineer (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity. What You'll Do: 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows 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 Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer Richmond, VA: $244,700 - $279,200 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, 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 . click apply for full job details
09/28/2026
Full time
Director, AI Engineer (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity. What You'll Do: 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows 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 Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer Richmond, VA: $244,700 - $279,200 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, 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 . click apply for full job details
Director, AI Engineer (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity. What You'll Do: 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows 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 Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer Richmond, VA: $244,700 - $279,200 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, 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 . click apply for full job details
09/28/2026
Full time
Director, AI Engineer (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity. What You'll Do: 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows 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 Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer Richmond, VA: $244,700 - $279,200 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, 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 . click apply for full job details
Staff AI Engineer (Remote Eligible) 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor'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, or a Master'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 At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8 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 AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff 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. . click apply for full job details
09/28/2026
Full time
Staff AI Engineer (Remote Eligible) 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor'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, or a Master'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 At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8 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 AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff 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. . click apply for full job details
Director, AI Engineer (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity. What You'll Do: 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows 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 Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer Richmond, VA: $244,700 - $279,200 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, 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 . click apply for full job details
09/28/2026
Full time
Director, AI Engineer (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity. What You'll Do: 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows 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 Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer Richmond, VA: $244,700 - $279,200 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, 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 . click apply for full job details
REMOTE/Growing Company - Azure environment This Jobot Job is hosted by: Dylan Currier Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $225,000 per year A bit about us: A growing technology-driven organization is looking for a Director of Infrastructure to lead the strategy, architecture, and execution of its global infrastructure environment. This is a high-impact leadership role for someone who enjoys balancing strategic vision with hands-on execution - someone who can modernize systems, improve scalability, strengthen security, and build the foundation needed to support continued growth. You'll partner closely with executive leadership and cross-functional teams to drive infrastructure strategy, optimize operations, and ensure the organization has the technology backbone needed to scale. Why join us? The ideal candidate is comfortable operating strategically while remaining close to the technology. You will lead a lean technical team, establish scalable processes, strengthen the company's security posture, and build the infrastructure required to support continued growth. Job Details Key Responsibilities Own cloud infrastructure, networking, internal IT, hardware, SaaS platforms, and technology vendors. Lead Azure infrastructure, infrastructure-as-code, automation, API platforms, AI infrastructure, and observability. Establish FinOps practices and optimize cloud, SaaS, and technology spend. Develop and maintain the company's cybersecurity strategy, including SIEM, endpoint security, identity/access management, zero-trust, and MDR partnerships. Lead security programs including security awareness, vendor risk, customer security assessments, and DevSecOps. Own SOC 2, SOX ITGC, privacy, data protection, and AI governance programs. Oversee business continuity, disaster recovery, incident management, release governance, onboarding/offboarding, and IT operations. Partner closely with Engineering while maintaining clear ownership of infrastructure, security, access, governance, and operational processes. Lead and develop a team of four across Cloud & Platform, IT Operations, Security, and Database Administration. Required Qualifications 8+ years of experience in IT infrastructure, cybersecurity, cloud engineering, or a related field. 3+ years of technical team leadership experience. Strong hands-on experience with cloud infrastructure, preferably Azure. Experience with infrastructure-as-code, automation, and modern cloud operations. Proven experience building or maturing cybersecurity programs, including SIEM, identity, endpoint security, and detection. Experience with SOC 2, SOX ITGC, or comparable compliance programs. Understanding of FinOps, SaaS management, and technology cost optimization. Strong operational, leadership, communication, and cross-functional skills. B2B SaaS or technology company experience strongly preferred. Preferred AI governance experience using NIST or OWASP frameworks. API management and observability experience. MDR/MSSP management experience. Zero-trust and remote workforce experience. Azure security/architecture expertise. CISSP, CISM, or Azure certifications. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
09/27/2026
Full time
REMOTE/Growing Company - Azure environment This Jobot Job is hosted by: Dylan Currier Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $225,000 per year A bit about us: A growing technology-driven organization is looking for a Director of Infrastructure to lead the strategy, architecture, and execution of its global infrastructure environment. This is a high-impact leadership role for someone who enjoys balancing strategic vision with hands-on execution - someone who can modernize systems, improve scalability, strengthen security, and build the foundation needed to support continued growth. You'll partner closely with executive leadership and cross-functional teams to drive infrastructure strategy, optimize operations, and ensure the organization has the technology backbone needed to scale. Why join us? The ideal candidate is comfortable operating strategically while remaining close to the technology. You will lead a lean technical team, establish scalable processes, strengthen the company's security posture, and build the infrastructure required to support continued growth. Job Details Key Responsibilities Own cloud infrastructure, networking, internal IT, hardware, SaaS platforms, and technology vendors. Lead Azure infrastructure, infrastructure-as-code, automation, API platforms, AI infrastructure, and observability. Establish FinOps practices and optimize cloud, SaaS, and technology spend. Develop and maintain the company's cybersecurity strategy, including SIEM, endpoint security, identity/access management, zero-trust, and MDR partnerships. Lead security programs including security awareness, vendor risk, customer security assessments, and DevSecOps. Own SOC 2, SOX ITGC, privacy, data protection, and AI governance programs. Oversee business continuity, disaster recovery, incident management, release governance, onboarding/offboarding, and IT operations. Partner closely with Engineering while maintaining clear ownership of infrastructure, security, access, governance, and operational processes. Lead and develop a team of four across Cloud & Platform, IT Operations, Security, and Database Administration. Required Qualifications 8+ years of experience in IT infrastructure, cybersecurity, cloud engineering, or a related field. 3+ years of technical team leadership experience. Strong hands-on experience with cloud infrastructure, preferably Azure. Experience with infrastructure-as-code, automation, and modern cloud operations. Proven experience building or maturing cybersecurity programs, including SIEM, identity, endpoint security, and detection. Experience with SOC 2, SOX ITGC, or comparable compliance programs. Understanding of FinOps, SaaS management, and technology cost optimization. Strong operational, leadership, communication, and cross-functional skills. B2B SaaS or technology company experience strongly preferred. Preferred AI governance experience using NIST or OWASP frameworks. API management and observability experience. MDR/MSSP management experience. Zero-trust and remote workforce experience. Azure security/architecture expertise. CISSP, CISM, or Azure certifications. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
REMOTE/Growing Company - Azure environment This Jobot Job is hosted by: Dylan Currier Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $225,000 per year A bit about us: A growing technology-driven organization is looking for a Director of Infrastructure to lead the strategy, architecture, and execution of its global infrastructure environment. This is a high-impact leadership role for someone who enjoys balancing strategic vision with hands-on execution - someone who can modernize systems, improve scalability, strengthen security, and build the foundation needed to support continued growth. You'll partner closely with executive leadership and cross-functional teams to drive infrastructure strategy, optimize operations, and ensure the organization has the technology backbone needed to scale. Why join us? The ideal candidate is comfortable operating strategically while remaining close to the technology. You will lead a lean technical team, establish scalable processes, strengthen the company's security posture, and build the infrastructure required to support continued growth. Job Details Key Responsibilities Own cloud infrastructure, networking, internal IT, hardware, SaaS platforms, and technology vendors. Lead Azure infrastructure, infrastructure-as-code, automation, API platforms, AI infrastructure, and observability. Establish FinOps practices and optimize cloud, SaaS, and technology spend. Develop and maintain the company's cybersecurity strategy, including SIEM, endpoint security, identity/access management, zero-trust, and MDR partnerships. Lead security programs including security awareness, vendor risk, customer security assessments, and DevSecOps. Own SOC 2, SOX ITGC, privacy, data protection, and AI governance programs. Oversee business continuity, disaster recovery, incident management, release governance, onboarding/offboarding, and IT operations. Partner closely with Engineering while maintaining clear ownership of infrastructure, security, access, governance, and operational processes. Lead and develop a team of four across Cloud & Platform, IT Operations, Security, and Database Administration. Required Qualifications 8+ years of experience in IT infrastructure, cybersecurity, cloud engineering, or a related field. 3+ years of technical team leadership experience. Strong hands-on experience with cloud infrastructure, preferably Azure. Experience with infrastructure-as-code, automation, and modern cloud operations. Proven experience building or maturing cybersecurity programs, including SIEM, identity, endpoint security, and detection. Experience with SOC 2, SOX ITGC, or comparable compliance programs. Understanding of FinOps, SaaS management, and technology cost optimization. Strong operational, leadership, communication, and cross-functional skills. B2B SaaS or technology company experience strongly preferred. Preferred AI governance experience using NIST or OWASP frameworks. API management and observability experience. MDR/MSSP management experience. Zero-trust and remote workforce experience. Azure security/architecture expertise. CISSP, CISM, or Azure certifications. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
09/27/2026
Full time
REMOTE/Growing Company - Azure environment This Jobot Job is hosted by: Dylan Currier Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $225,000 per year A bit about us: A growing technology-driven organization is looking for a Director of Infrastructure to lead the strategy, architecture, and execution of its global infrastructure environment. This is a high-impact leadership role for someone who enjoys balancing strategic vision with hands-on execution - someone who can modernize systems, improve scalability, strengthen security, and build the foundation needed to support continued growth. You'll partner closely with executive leadership and cross-functional teams to drive infrastructure strategy, optimize operations, and ensure the organization has the technology backbone needed to scale. Why join us? The ideal candidate is comfortable operating strategically while remaining close to the technology. You will lead a lean technical team, establish scalable processes, strengthen the company's security posture, and build the infrastructure required to support continued growth. Job Details Key Responsibilities Own cloud infrastructure, networking, internal IT, hardware, SaaS platforms, and technology vendors. Lead Azure infrastructure, infrastructure-as-code, automation, API platforms, AI infrastructure, and observability. Establish FinOps practices and optimize cloud, SaaS, and technology spend. Develop and maintain the company's cybersecurity strategy, including SIEM, endpoint security, identity/access management, zero-trust, and MDR partnerships. Lead security programs including security awareness, vendor risk, customer security assessments, and DevSecOps. Own SOC 2, SOX ITGC, privacy, data protection, and AI governance programs. Oversee business continuity, disaster recovery, incident management, release governance, onboarding/offboarding, and IT operations. Partner closely with Engineering while maintaining clear ownership of infrastructure, security, access, governance, and operational processes. Lead and develop a team of four across Cloud & Platform, IT Operations, Security, and Database Administration. Required Qualifications 8+ years of experience in IT infrastructure, cybersecurity, cloud engineering, or a related field. 3+ years of technical team leadership experience. Strong hands-on experience with cloud infrastructure, preferably Azure. Experience with infrastructure-as-code, automation, and modern cloud operations. Proven experience building or maturing cybersecurity programs, including SIEM, identity, endpoint security, and detection. Experience with SOC 2, SOX ITGC, or comparable compliance programs. Understanding of FinOps, SaaS management, and technology cost optimization. Strong operational, leadership, communication, and cross-functional skills. B2B SaaS or technology company experience strongly preferred. Preferred AI governance experience using NIST or OWASP frameworks. API management and observability experience. MDR/MSSP management experience. Zero-trust and remote workforce experience. Azure security/architecture expertise. CISSP, CISM, or Azure certifications. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
MANAGER BRANCH II WHAT IS THE OPPORTUNITY? Responsible for managing a portfolio of personal & business clients and hold responsibility for the overall success of the branch. As a leader & coach, the Branch Manager will enable their direct reports to be successful in their respective roles, providing regular coaching and ensuring the branch maintains high standards for risk and compliance, as well as contribute to the market and regional strategy. From the sales and relationship management perspective, will assist clients to meet their financial needs, providing sound financial advice and acting as a trusted strategic advisor. Responsible for all functions of assigned branch with particular emphasis on managing a client-driven sales and service environment. This may be accomplished through active calling efforts and referrals from existing clients, providing the CNB exemplary level of service, identifying and promoting solutions to client needs, and actively embracing the Bank's segmentation strategy by referring new business to the appropriate segment/business partner. In addition to, plans, controls and directs the activities of branch personnel towards attainment of branch goals, including sales, client service and proper credit quality and risk management. Responsible for all aspects of his or her assigned branch(es) ensuring that all positions are fully functional and aware of individual roles and responsibilities, while also working to retain colleague talent and develop colleagues for further success. Key measures of success will include acquisition of new personal and new small business clients, deposit and fee income growth from both new and existing portfolios, loan and line volume that includes but is not limited to CRA-eligible fundings, excellent risk management mitigation, as well as the qualitative sales, networking, and community presence activities that generate the aforementioned volumes and represent City National with polished professionalism. Must be in good standing under "The Secure and Fair Enforcement for Mortgage Licensing Act of 2008" (Safe Act) and must be registered/licensed with the "Nationwide Mortgage Licensing System and Registry"; or must be able to be registered under the Safe Act. Must remain in good standing under the Safe Act. WHAT WILL YOU DO? People leadership & talent development - coach team to deliver meaningful interactions with clients and identifying development and growth opportunities; fulfil day-to-day people management responsibilities (e.g., recruitment, general support, training etc.). Acquire & deepen client relationships - generate new client relationships and deepen existing client relationships; provide senior support and act as a role model to lead by example & foster a proactive business development culture within the branch. Business & Risk Management - remain updated on CNB's policies and procedures & train branch staff to ensures adherence; foster a strong sales environment, balancing compliance. Balancing priorities - coach team to price business and collect fees, maintaining balance of sales results, client profitability and relationship building; address risk / compliance gaps. Partnering with a collaborative mindset - partnering to meet client needs by introducing them to the right partner in the CNB ecosystem, championing the Global Relationship Management (GRM) approach; maintain strong relationships with key branch clients to ensure retention. Deliver an exceptional & consistent client experience - ensure client needs are met, escalations resolved appropriately, & consistent delivery centered on key areas of client needs. Improve Sales & Banking Acumen - committed to continuously developing stronger banking acumen and sales practices through collaboration with SME colleagues, leveraging internal training resources, and required job family curriculum. Complies fully with all Bank Operational and Credit policies and procedures as well as all regulatory requirements (e.g. Bank Secrecy Act, Know Your Client, Community Reinvestment Act, Fair Lending Practices, Code of Conduct, etc.) KEY CAPABILITIES Client Centricity & Relationship Management - to understand a client's realities and growth ambitions, empathize with their challenges, earn trust and steward the relationship through advice & solutions catered to their unique and evolving focuses. Business Development - nurture existing client relationships, develop new long-term profitable relationships to win new business through best practices, networking and building relationships. Collaboration - collaborate with senior management to develop a market sales strategy; partner with PBB SMEs and other divisions to win business and find the home of best fit for a client. Communication - demonstrate strong active listening skills with colleagues and clients alike; able to translate a complex problem into a succinct plan of action. Networking - ability to network with intent, build a strong presence in the community / market to build the brand and attract the target clientele. Adaptability - manage ambiguity, embrace change, and be able to quickly pivot to support branch team as how to navigate a dynamic corporate environment. Project & Change Management - ability to balance conflicting priorities, using strong time management and organizational skills, ensuring branch focus on evolving key goals and initiatives. Leadership - influence the branch team to succeed and champion the branch in the community. People Development / Coaching - identify and nurture colleagues' potential, facilitate growth, and retain top talent for CNB; deliver constructive feedback effectively & coach to address unique needs. WHAT DO YOU NEED TO SUCCEED? Required Qualifications Bachelor's Degree or equivalent Knowledge of Generally Accepted Accounting Principles required Minimum 5 years of branch management or supervisory experience in a branch environment Minimum 5 years of experience performing lending and business development activities Must be in good standing under "The Secure and Fair Enforcement for Mortgage Licensing Act of 2008" (Safe Act) or must be able to be registered under the Safe Act. Must be registered/licensed with the "Nationwide Mortgage Licensing System and Registry"; Additional Qualifications Banking Products for Personal & Small Business clients - deep knowledge of CNB's offerings Regulatory / Compliance - superior understanding of the regulatory environment CNB operates in to manage risk and ensure compliance Economic Environment - ability to articulate and demonstrate an understanding of the economic environment and its impact on clients CNB Policies & Procedures - strong knowledge of CNB's policies, procedures & regulatory obligations across product offerings; strong understanding of servicing processes Personal & Small Business Financials - reviewing financial statements / tax returns of both individuals and businesses to be able to advise clients and support branch colleagues Expertise in Salesforce CRM, including managing sales team to Salesforce utilization expectations General Software Skills - ability to navigate Microsoft Office & other key tools WHAT'S IN IT FOR YOU? Compensation Starting base salary: $87,027 - $138,965 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions. Benefits and Perks At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including: Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date Generous 401(k) company matching contribution Career Development through Tuition Reimbursement and other internal upskilling and training resources Valued Time Away benefits including vacation, sick and volunteer time Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs Career Mobility support from a dedicated recruitment team Colleague Resource Groups to support networking and community engagement Get a more detailed look at our Benefits and Perks ( ABOUT US Since day one, we've always gone further than the competition to help our clients, colleagues and communities' flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America's leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us ( INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. accepts applications on an ongoing basis, until filled. Unless otherwise indicated as fully remote . click apply for full job details
09/26/2026
Full time
MANAGER BRANCH II WHAT IS THE OPPORTUNITY? Responsible for managing a portfolio of personal & business clients and hold responsibility for the overall success of the branch. As a leader & coach, the Branch Manager will enable their direct reports to be successful in their respective roles, providing regular coaching and ensuring the branch maintains high standards for risk and compliance, as well as contribute to the market and regional strategy. From the sales and relationship management perspective, will assist clients to meet their financial needs, providing sound financial advice and acting as a trusted strategic advisor. Responsible for all functions of assigned branch with particular emphasis on managing a client-driven sales and service environment. This may be accomplished through active calling efforts and referrals from existing clients, providing the CNB exemplary level of service, identifying and promoting solutions to client needs, and actively embracing the Bank's segmentation strategy by referring new business to the appropriate segment/business partner. In addition to, plans, controls and directs the activities of branch personnel towards attainment of branch goals, including sales, client service and proper credit quality and risk management. Responsible for all aspects of his or her assigned branch(es) ensuring that all positions are fully functional and aware of individual roles and responsibilities, while also working to retain colleague talent and develop colleagues for further success. Key measures of success will include acquisition of new personal and new small business clients, deposit and fee income growth from both new and existing portfolios, loan and line volume that includes but is not limited to CRA-eligible fundings, excellent risk management mitigation, as well as the qualitative sales, networking, and community presence activities that generate the aforementioned volumes and represent City National with polished professionalism. Must be in good standing under "The Secure and Fair Enforcement for Mortgage Licensing Act of 2008" (Safe Act) and must be registered/licensed with the "Nationwide Mortgage Licensing System and Registry"; or must be able to be registered under the Safe Act. Must remain in good standing under the Safe Act. WHAT WILL YOU DO? People leadership & talent development - coach team to deliver meaningful interactions with clients and identifying development and growth opportunities; fulfil day-to-day people management responsibilities (e.g., recruitment, general support, training etc.). Acquire & deepen client relationships - generate new client relationships and deepen existing client relationships; provide senior support and act as a role model to lead by example & foster a proactive business development culture within the branch. Business & Risk Management - remain updated on CNB's policies and procedures & train branch staff to ensures adherence; foster a strong sales environment, balancing compliance. Balancing priorities - coach team to price business and collect fees, maintaining balance of sales results, client profitability and relationship building; address risk / compliance gaps. Partnering with a collaborative mindset - partnering to meet client needs by introducing them to the right partner in the CNB ecosystem, championing the Global Relationship Management (GRM) approach; maintain strong relationships with key branch clients to ensure retention. Deliver an exceptional & consistent client experience - ensure client needs are met, escalations resolved appropriately, & consistent delivery centered on key areas of client needs. Improve Sales & Banking Acumen - committed to continuously developing stronger banking acumen and sales practices through collaboration with SME colleagues, leveraging internal training resources, and required job family curriculum. Complies fully with all Bank Operational and Credit policies and procedures as well as all regulatory requirements (e.g. Bank Secrecy Act, Know Your Client, Community Reinvestment Act, Fair Lending Practices, Code of Conduct, etc.) KEY CAPABILITIES Client Centricity & Relationship Management - to understand a client's realities and growth ambitions, empathize with their challenges, earn trust and steward the relationship through advice & solutions catered to their unique and evolving focuses. Business Development - nurture existing client relationships, develop new long-term profitable relationships to win new business through best practices, networking and building relationships. Collaboration - collaborate with senior management to develop a market sales strategy; partner with PBB SMEs and other divisions to win business and find the home of best fit for a client. Communication - demonstrate strong active listening skills with colleagues and clients alike; able to translate a complex problem into a succinct plan of action. Networking - ability to network with intent, build a strong presence in the community / market to build the brand and attract the target clientele. Adaptability - manage ambiguity, embrace change, and be able to quickly pivot to support branch team as how to navigate a dynamic corporate environment. Project & Change Management - ability to balance conflicting priorities, using strong time management and organizational skills, ensuring branch focus on evolving key goals and initiatives. Leadership - influence the branch team to succeed and champion the branch in the community. People Development / Coaching - identify and nurture colleagues' potential, facilitate growth, and retain top talent for CNB; deliver constructive feedback effectively & coach to address unique needs. WHAT DO YOU NEED TO SUCCEED? Required Qualifications Bachelor's Degree or equivalent Knowledge of Generally Accepted Accounting Principles required Minimum 5 years of branch management or supervisory experience in a branch environment Minimum 5 years of experience performing lending and business development activities Must be in good standing under "The Secure and Fair Enforcement for Mortgage Licensing Act of 2008" (Safe Act) or must be able to be registered under the Safe Act. Must be registered/licensed with the "Nationwide Mortgage Licensing System and Registry"; Additional Qualifications Banking Products for Personal & Small Business clients - deep knowledge of CNB's offerings Regulatory / Compliance - superior understanding of the regulatory environment CNB operates in to manage risk and ensure compliance Economic Environment - ability to articulate and demonstrate an understanding of the economic environment and its impact on clients CNB Policies & Procedures - strong knowledge of CNB's policies, procedures & regulatory obligations across product offerings; strong understanding of servicing processes Personal & Small Business Financials - reviewing financial statements / tax returns of both individuals and businesses to be able to advise clients and support branch colleagues Expertise in Salesforce CRM, including managing sales team to Salesforce utilization expectations General Software Skills - ability to navigate Microsoft Office & other key tools WHAT'S IN IT FOR YOU? Compensation Starting base salary: $87,027 - $138,965 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions. Benefits and Perks At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including: Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date Generous 401(k) company matching contribution Career Development through Tuition Reimbursement and other internal upskilling and training resources Valued Time Away benefits including vacation, sick and volunteer time Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs Career Mobility support from a dedicated recruitment team Colleague Resource Groups to support networking and community engagement Get a more detailed look at our Benefits and Perks ( ABOUT US Since day one, we've always gone further than the competition to help our clients, colleagues and communities' flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America's leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us ( INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. accepts applications on an ongoing basis, until filled. Unless otherwise indicated as fully remote . click apply for full job details
Platform Engineer (DevOps / CI/CD / Automation / Observability) DETAILS Location: Remote Position Type: 16M+ Contract Hourly / Salary: to $90W2+ based on experience) JOB SUMMARY Vaco is currently seeking a Platform Engineer (DevOps / CI/CD / Automation / Observability) for a 16M+ Contract that is remote. The Platform Engineer will support a large-scale enterprise cloud data platform initiative focused on provisioning, automating, securing, monitoring, and optimizing Snowflake environments within Azure. The Platform Engineer will lead platform engineering efforts by implementing Infrastructure as Code, CI/CD automation, observability, security integration, and cloud governance while ensuring the Snowflake platform remains scalable, reliable, secure, and cost efficient. The ideal Platform Engineer will possess strong Snowflake platform administration experience combined with Azure cloud engineering, DevOps automation, and enterprise platform operations expertise. This is a cloud platform engineering role focused on automation and operational excellence rather than traditional database administration. Snowflake Platform Administration - Provisioning / Configuring / Administering Enterprise Snowflake Environments Supporting Secure / Scalable / Highly Available Cloud Data Platforms Platform Engineering / Automation - Automating Platform Provisioning / Configuration / Environment Management Using Infrastructure as Code and Enterprise Automation Practices Infrastructure as Code (Terraform) - Developing / Maintaining Terraform Templates Supporting Consistent Infrastructure Deployment / Configuration Management / Platform Standardization Azure Cloud Engineering - Supporting Azure Infrastructure / Networking / Identity / Cloud Services Required for Enterprise Data Platform Operations CI/CD Automation - Designing / Implementing Automated Build / Deployment / Release Pipelines Supporting Snowflake Platform Changes / Infrastructure Deployments / Operational Automation DevOps Engineering - Supporting Modern DevOps Practices Including Source Control / Automated Testing / Continuous Integration / Continuous Delivery / Infrastructure Automation Observability / Monitoring - Implementing Enterprise Monitoring / Logging / Alerting / Performance Visibility Supporting Proactive Platform Operations Performance Optimization - Monitoring Platform Performance / Resource Utilization / Query Performance / Operational Health to Improve Reliability and User Experience Cloud Cost Optimization (FinOps) - Monitoring Snowflake Consumption / Compute Utilization / Storage / Cloud Costs While Identifying Optimization Opportunities Security Integration - Supporting Enterprise Identity Management / Authentication / Authorization / Security Controls / Compliance Across the Snowflake Platform Operational Reliability - Supporting Production Platform Stability / Incident Response / Root Cause Analysis / Continuous Platform Improvement Cross-Functional Collaboration - Partnering with Data Engineering / Data Architecture / Security / Infrastructure / DevOps Teams to Deliver Enterprise Platform Capabilities JOB REQUIREMENTS Snowflake Administration - Experience Provisioning / Configuring / Administering Enterprise Snowflake Environments Supporting Secure Cloud Data Platforms Azure Cloud - Experience Supporting Azure Infrastructure, Identity, Networking, and Cloud Services Supporting Enterprise Data Platforms Terraform - Experience Developing Infrastructure as Code Solutions Supporting Automated Cloud Infrastructure Provisioning and Configuration Management Platform Engineering - Experience Supporting Enterprise Cloud Platforms Through Automation, Standardization, Operational Excellence, and Scalable Infrastructure Design DevOps - Experience Implementing Modern DevOps Practices Supporting Infrastructure Automation, Source Control, Build Pipelines, and Release Management CI/CD - Experience Designing and Maintaining Automated CI/CD Pipelines Supporting Platform Deployments and Operational Automation Observability / Monitoring - Experience Implementing Monitoring, Logging, Alerting, Metrics Collection, and Operational Dashboards Supporting Platform Reliability Logging / Operational Visibility - Experience Supporting Centralized Logging, Operational Diagnostics, Troubleshooting, and Performance Analysis Performance Optimization - Experience Monitoring Platform Health, Resource Utilization, Query Performance, and System Efficiency Security Integration - Experience Integrating Enterprise Authentication, Identity Management, Access Controls, and Security Best Practices Within Cloud Platforms Cloud Cost Management (FinOps) - Experience Monitoring Cloud Resource Consumption and Identifying Opportunities to Optimize Operational Costs Analytical Problem Solving - Experience Performing Root Cause Analysis, Production Troubleshooting, Platform Optimization, and Continuous Operational Improvement PREFERRED (not required) Kubernetes - Experience Supporting Containerized Applications / Kubernetes Infrastructure / Cloud-Native Platform Operations Containerization - Experience Supporting Docker and Container-Based Application Deployments Enterprise Cloud Platforms - Experience Supporting Large-Scale Cloud Infrastructure and Enterprise Data Platform Operations Infrastructure Automation - Experience Building Enterprise Automation Frameworks Supporting Repeatable Platform Deployments Agile DevOps Delivery - Experience Working Within Agile Infrastructure / DevOps Teams Supporting Continuous Delivery and Platform Modernization Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here . click apply for full job details
09/25/2026
Full time
Platform Engineer (DevOps / CI/CD / Automation / Observability) DETAILS Location: Remote Position Type: 16M+ Contract Hourly / Salary: to $90W2+ based on experience) JOB SUMMARY Vaco is currently seeking a Platform Engineer (DevOps / CI/CD / Automation / Observability) for a 16M+ Contract that is remote. The Platform Engineer will support a large-scale enterprise cloud data platform initiative focused on provisioning, automating, securing, monitoring, and optimizing Snowflake environments within Azure. The Platform Engineer will lead platform engineering efforts by implementing Infrastructure as Code, CI/CD automation, observability, security integration, and cloud governance while ensuring the Snowflake platform remains scalable, reliable, secure, and cost efficient. The ideal Platform Engineer will possess strong Snowflake platform administration experience combined with Azure cloud engineering, DevOps automation, and enterprise platform operations expertise. This is a cloud platform engineering role focused on automation and operational excellence rather than traditional database administration. Snowflake Platform Administration - Provisioning / Configuring / Administering Enterprise Snowflake Environments Supporting Secure / Scalable / Highly Available Cloud Data Platforms Platform Engineering / Automation - Automating Platform Provisioning / Configuration / Environment Management Using Infrastructure as Code and Enterprise Automation Practices Infrastructure as Code (Terraform) - Developing / Maintaining Terraform Templates Supporting Consistent Infrastructure Deployment / Configuration Management / Platform Standardization Azure Cloud Engineering - Supporting Azure Infrastructure / Networking / Identity / Cloud Services Required for Enterprise Data Platform Operations CI/CD Automation - Designing / Implementing Automated Build / Deployment / Release Pipelines Supporting Snowflake Platform Changes / Infrastructure Deployments / Operational Automation DevOps Engineering - Supporting Modern DevOps Practices Including Source Control / Automated Testing / Continuous Integration / Continuous Delivery / Infrastructure Automation Observability / Monitoring - Implementing Enterprise Monitoring / Logging / Alerting / Performance Visibility Supporting Proactive Platform Operations Performance Optimization - Monitoring Platform Performance / Resource Utilization / Query Performance / Operational Health to Improve Reliability and User Experience Cloud Cost Optimization (FinOps) - Monitoring Snowflake Consumption / Compute Utilization / Storage / Cloud Costs While Identifying Optimization Opportunities Security Integration - Supporting Enterprise Identity Management / Authentication / Authorization / Security Controls / Compliance Across the Snowflake Platform Operational Reliability - Supporting Production Platform Stability / Incident Response / Root Cause Analysis / Continuous Platform Improvement Cross-Functional Collaboration - Partnering with Data Engineering / Data Architecture / Security / Infrastructure / DevOps Teams to Deliver Enterprise Platform Capabilities JOB REQUIREMENTS Snowflake Administration - Experience Provisioning / Configuring / Administering Enterprise Snowflake Environments Supporting Secure Cloud Data Platforms Azure Cloud - Experience Supporting Azure Infrastructure, Identity, Networking, and Cloud Services Supporting Enterprise Data Platforms Terraform - Experience Developing Infrastructure as Code Solutions Supporting Automated Cloud Infrastructure Provisioning and Configuration Management Platform Engineering - Experience Supporting Enterprise Cloud Platforms Through Automation, Standardization, Operational Excellence, and Scalable Infrastructure Design DevOps - Experience Implementing Modern DevOps Practices Supporting Infrastructure Automation, Source Control, Build Pipelines, and Release Management CI/CD - Experience Designing and Maintaining Automated CI/CD Pipelines Supporting Platform Deployments and Operational Automation Observability / Monitoring - Experience Implementing Monitoring, Logging, Alerting, Metrics Collection, and Operational Dashboards Supporting Platform Reliability Logging / Operational Visibility - Experience Supporting Centralized Logging, Operational Diagnostics, Troubleshooting, and Performance Analysis Performance Optimization - Experience Monitoring Platform Health, Resource Utilization, Query Performance, and System Efficiency Security Integration - Experience Integrating Enterprise Authentication, Identity Management, Access Controls, and Security Best Practices Within Cloud Platforms Cloud Cost Management (FinOps) - Experience Monitoring Cloud Resource Consumption and Identifying Opportunities to Optimize Operational Costs Analytical Problem Solving - Experience Performing Root Cause Analysis, Production Troubleshooting, Platform Optimization, and Continuous Operational Improvement PREFERRED (not required) Kubernetes - Experience Supporting Containerized Applications / Kubernetes Infrastructure / Cloud-Native Platform Operations Containerization - Experience Supporting Docker and Container-Based Application Deployments Enterprise Cloud Platforms - Experience Supporting Large-Scale Cloud Infrastructure and Enterprise Data Platform Operations Infrastructure Automation - Experience Building Enterprise Automation Frameworks Supporting Repeatable Platform Deployments Agile DevOps Delivery - Experience Working Within Agile Infrastructure / DevOps Teams Supporting Continuous Delivery and Platform Modernization Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here . click apply for full job details
D365 F&O Solution Architect / Senior L3 Support Engineer DETAILS Location: 100% Remote Position Type: 6M C2H Hourly / Salary: to $160K (based on experience) JOB SUMMARY Vaco is currently seeking a D365 F&O Solution Architect / Senior L3 Support Engineer for a 6M C2H opportunity that is 100% remote. The D365 F&O Solution Architect / Senior L3 Support Engineer will serve as the senior technical lead for a key enterprise client, driving quarterly health assessments, architectural recommendations, and L3 escalation support. The D365 F&O Solution Architect / Senior L3 Support Engineer is a client-facing role blending deep platform expertise with advisory delivery in a managed services environment, working alongside a primarily India-based team to exceed support outcomes. The D365 F&O Solution Architect / Senior L3 Support Engineer must bring solution architecture experience, strong Dynamics knowledge, and the ability to guide clients through optimizations without direct hands-on implementation. D365 Architecture Leadership Architecture / Operational Support Balance - 50/50 Strategic / Operational Support Driving Strategic Architecture Activities / Supporting Ticket Resolution / Escalations D365 Architecture - Providing Senior Architect-Level Expertise for D365 Platform Health Assessments / Architectural Reviews / Platform Optimization Initiatives D365 F&O Platform Assessments - Leading Quarterly Health Assessments / Architectural Reviews of D365 F&O Environments in Partnership With Customers and MS Customization / Configuration Analysis - Evaluating Customizations / Extensions / Configurations to Identify Performance Bottlenecks / Stability Risks / Architectural Inefficiencies Architecture Optimization / Advisory Services - Providing Actionable Recommendations Around Architecture Improvements / Best Practices / Remediation Strategies to Improve Platform Performance / Reliability / Scalability System Health / Performance Evaluation - Conducting Deep-Dive Analysis into How Platform Customizations / Configuration Decisions Impact Overall System Stability / Health Client Advisory / Technical Consulting - Delivering Findings / Architecture Diagrams / Strategic Guidance Implementing Recommendations via Consultative Engagements without Direct Hands-On System Modification Responsibilities Client Advisory / Strategic Guidance Quarterly Evaluations - Leading Client-Facing Quarterly Evaluations with MS Focused on Best Practices / Recommendations / Platform Improvement Opportunities Customer Engagement / Advisory Leadership - Confidently Interfacing Directly with Customers during Health Assessments / Technical Discussions / Architecture Reviews Pre-Sales Technical Support - Participating in Pre-Sales Conversations with Prospective Large D365 Customers to Demonstrate Technical Depth / Platform Expertise / Service Offerings Technical-to-Business Translation - Translating Complex Technical Concepts into Clear / Business-Friendly Recommendations / Actionable Guidance Stakeholder Trust / Relationship Building - Building Strong Technical Credibility / Trust with Client Stakeholders via Consistent Advisory Engagement / Expertise L3 Escalation / Delivery Oversight D365 Technical Escalation Authority - Primary Escalation Point / Highest Technical Authority for Distributed Dynamics Support Teams (L2/L3 Offshore Delivery Model) Major Incident / Production Support (P1/P2) - Handling Complex High-Impact Production Issues Advanced Troubleshooting / Root Cause Analysis Overflow Customer Support - Providing Supplemental Support on Direct Customer Tickets Maintaining Service Continuity / SLA Compliance Microsoft Escalation Management - Opening / Managing / Driving Escalations with Microsoft Support for Critical Platform Issues / Defects Production Stability / Risk Mitigation - Ensuring System Stability via Proactive Technical Guidance / Preventive Actions / Permanent Corrective Fix Implementation JOB REQUIREMENTS D365 F&O Platform Architecture (expert) - Assess / Optimize Large-Scale / Multi-Company D365 Environments D365 F&O Architecture / Metadata Model / Batch Framework / Data Entities / Security Model Diagnostics / Performance Troubleshooting (advanced) - Identifying Root Causes of Performance / Stability Trace Parser / PerfTimer / X Profiler / LCS Diagnostics / Azure Monitoring / Application Insights Database / Batch Performance (advanced) - Batch Processing Optimization / Troubleshooting SQL Server / Azure SQL Query Optimization / Indexing / Performance Tuning Development / Customization Knowledge (advanced / light hands-on) - X / Extensions / Chain of Command / Event Handlers (Review / Critique Custom Code) NOT Heavy Development Focused on Reviewing / Guiding vs. Writing Significant New Code Azure / Integration Awareness (working knowledge) - Azure Services (Logic Apps / Service Bus / Azure Functions / DataFactory, etc.) Relating to D365 Integrations PRFEFERRED (not required) MS Certifications - MB-500 / MB-700 / MB-920, etc. Microsoft / Vendor Health Assessments - Participating in Quarterly MS-Led / Vendor-Led Platform Health Assessments / Reviews Pre-Sales Technical Exposure - Pre-Sales Technical Discussions Supporting Solution Positioning / Customer Advisory Engagements DevOps / ALM Awareness (understanding) - Supporting DevOps / Application Lifecycle Management Concepts (Azure DevOps / LCS / Deployable Packages) Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally . click apply for full job details
09/24/2026
Full time
D365 F&O Solution Architect / Senior L3 Support Engineer DETAILS Location: 100% Remote Position Type: 6M C2H Hourly / Salary: to $160K (based on experience) JOB SUMMARY Vaco is currently seeking a D365 F&O Solution Architect / Senior L3 Support Engineer for a 6M C2H opportunity that is 100% remote. The D365 F&O Solution Architect / Senior L3 Support Engineer will serve as the senior technical lead for a key enterprise client, driving quarterly health assessments, architectural recommendations, and L3 escalation support. The D365 F&O Solution Architect / Senior L3 Support Engineer is a client-facing role blending deep platform expertise with advisory delivery in a managed services environment, working alongside a primarily India-based team to exceed support outcomes. The D365 F&O Solution Architect / Senior L3 Support Engineer must bring solution architecture experience, strong Dynamics knowledge, and the ability to guide clients through optimizations without direct hands-on implementation. D365 Architecture Leadership Architecture / Operational Support Balance - 50/50 Strategic / Operational Support Driving Strategic Architecture Activities / Supporting Ticket Resolution / Escalations D365 Architecture - Providing Senior Architect-Level Expertise for D365 Platform Health Assessments / Architectural Reviews / Platform Optimization Initiatives D365 F&O Platform Assessments - Leading Quarterly Health Assessments / Architectural Reviews of D365 F&O Environments in Partnership With Customers and MS Customization / Configuration Analysis - Evaluating Customizations / Extensions / Configurations to Identify Performance Bottlenecks / Stability Risks / Architectural Inefficiencies Architecture Optimization / Advisory Services - Providing Actionable Recommendations Around Architecture Improvements / Best Practices / Remediation Strategies to Improve Platform Performance / Reliability / Scalability System Health / Performance Evaluation - Conducting Deep-Dive Analysis into How Platform Customizations / Configuration Decisions Impact Overall System Stability / Health Client Advisory / Technical Consulting - Delivering Findings / Architecture Diagrams / Strategic Guidance Implementing Recommendations via Consultative Engagements without Direct Hands-On System Modification Responsibilities Client Advisory / Strategic Guidance Quarterly Evaluations - Leading Client-Facing Quarterly Evaluations with MS Focused on Best Practices / Recommendations / Platform Improvement Opportunities Customer Engagement / Advisory Leadership - Confidently Interfacing Directly with Customers during Health Assessments / Technical Discussions / Architecture Reviews Pre-Sales Technical Support - Participating in Pre-Sales Conversations with Prospective Large D365 Customers to Demonstrate Technical Depth / Platform Expertise / Service Offerings Technical-to-Business Translation - Translating Complex Technical Concepts into Clear / Business-Friendly Recommendations / Actionable Guidance Stakeholder Trust / Relationship Building - Building Strong Technical Credibility / Trust with Client Stakeholders via Consistent Advisory Engagement / Expertise L3 Escalation / Delivery Oversight D365 Technical Escalation Authority - Primary Escalation Point / Highest Technical Authority for Distributed Dynamics Support Teams (L2/L3 Offshore Delivery Model) Major Incident / Production Support (P1/P2) - Handling Complex High-Impact Production Issues Advanced Troubleshooting / Root Cause Analysis Overflow Customer Support - Providing Supplemental Support on Direct Customer Tickets Maintaining Service Continuity / SLA Compliance Microsoft Escalation Management - Opening / Managing / Driving Escalations with Microsoft Support for Critical Platform Issues / Defects Production Stability / Risk Mitigation - Ensuring System Stability via Proactive Technical Guidance / Preventive Actions / Permanent Corrective Fix Implementation JOB REQUIREMENTS D365 F&O Platform Architecture (expert) - Assess / Optimize Large-Scale / Multi-Company D365 Environments D365 F&O Architecture / Metadata Model / Batch Framework / Data Entities / Security Model Diagnostics / Performance Troubleshooting (advanced) - Identifying Root Causes of Performance / Stability Trace Parser / PerfTimer / X Profiler / LCS Diagnostics / Azure Monitoring / Application Insights Database / Batch Performance (advanced) - Batch Processing Optimization / Troubleshooting SQL Server / Azure SQL Query Optimization / Indexing / Performance Tuning Development / Customization Knowledge (advanced / light hands-on) - X / Extensions / Chain of Command / Event Handlers (Review / Critique Custom Code) NOT Heavy Development Focused on Reviewing / Guiding vs. Writing Significant New Code Azure / Integration Awareness (working knowledge) - Azure Services (Logic Apps / Service Bus / Azure Functions / DataFactory, etc.) Relating to D365 Integrations PRFEFERRED (not required) MS Certifications - MB-500 / MB-700 / MB-920, etc. Microsoft / Vendor Health Assessments - Participating in Quarterly MS-Led / Vendor-Led Platform Health Assessments / Reviews Pre-Sales Technical Exposure - Pre-Sales Technical Discussions Supporting Solution Positioning / Customer Advisory Engagements DevOps / ALM Awareness (understanding) - Supporting DevOps / Application Lifecycle Management Concepts (Azure DevOps / LCS / Deployable Packages) Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally . click apply for full job details
Kappa Delta Sorority Job Description CHAPTER HOUSING Title: Senior Housing Manager Supervisor: Chief Housing Officer Status: Full-time Exempt Location: Remote or Memphis, TN (Candidates in proximity to Memphis are required to work onsite, 4 days a week). This role requires approximately 25% travel. Position Summary The Senior Housing Manager provides senior-level leadership and oversight for Kappa Delta chapter housing, with a strong focus on capital construction projects, permitting, and government and regulatory compliance. This role leads asset transactions, capital projects, and facility renovations for facilities managed by National Kappa Delta, and supports projects managed by local volunteers. The Senior Housing Manager also serves as a key relationship manager, building and maintaining strong working relationships with headquarters staff, volunteers, collegians, contractors, municipal officials, and house corporations to ensure Kappa Delta facilities remain safe, code-compliant, and competitive at the local level. This role requires travel of approximately 25% to visit chapter facilities, oversee construction and permitting activities, meet with staff and volunteers, and attend conferences and training. The Senior Housing Manager reports to the Chief Housing Officer . Why this Role Matters/What You'll Influence The Senior Housing Manager safeguards Kappa Delta's physical assets and its members' living experience. Through hands-on management of construction projects, disciplined permitting and regulatory compliance, and strong relationships with local officials, contractors, and volunteers, this role ensures chapter facilities are safe, secure, and well-positioned in competitive local housing markets. By leading capital projects from planning through completion and serving as the trusted point of contact for local and national stakeholders, this position directly protects Kappa Delta's real estate investments, reduces organizational risk, and helps chapters offer housing experiences that support recruitment, retention, and the overall member experience. Essential Functions Construction, Capital Projects & Facility Development (30%) Plan, organize, execute, and monitor assigned housing capital projects and new construction, from initial scope through completion. Manage asset transactions, facility updates, renovations, refurbishments, and new construction for facilities managed by National Kappa Delta, and support projects managed by local volunteers. Develop and control project deadlines, work plans, budgets, and activities related to assigned capital projects. Manage general contractors, architects, engineers, and other construction vendors to ensure projects meet quality, budget, and timeline standards. Assess the performance of assigned chapter facilities and aim to maximize ROI on capital investment. Coordinate cross-project activities with staff and volunteer stakeholders at the national and local levels. Permitting & Government Compliance (20%) Manage the permitting process for construction and renovation projects, including coordination with local building departments, zoning boards, fire marshals, and other regulatory authorities. Monitor and ensure compliance with applicable building codes, life safety codes, ADA requirements, and local, state, and federal housing regulations. Maintain documentation of permits, inspections, certificates of occupancy, and other compliance records for facilities managed by National Kappa Delta. Serve as the organization's point of contact for government and regulatory inquiries related to chapter housing. Advise the Chief Housing Officer on regulatory risk and compliance requirements affecting capital projects. Relationship & Stakeholder Management (15%) Serve as the primary relationship manager for contractors, architects, municipal officials, landlords, property managers, and other local vendors and contacts. Build and maintain strong working relationships with house corporations, local volunteers, and chapter leadership to support successful project execution. Coordinate the support and needs of national stakeholders, including the division NLT, collegiate experience, marketing and communications, housing resource specialists, and other volunteers. Maintain current, transparent communication about project status and future needs for local and national stakeholders. Represent Kappa Delta in a professional and collaborative manner in dealings with external partners and government agencies. Special Projects & Portfolio Oversight (10%) Support designated facilities managed by National Kappa Delta. Serve on National Leadership Team division team(s) as assigned. Evaluate the effectiveness of Kappa Delta housing support models and make periodic recommendations to the Chief Housing Officer. Provide management reports to the Chief Housing Officer. Operations & Vendor Management (15%) Oversee relationships with vendors, as assigned, and ensure vendors meet or exceed established Kappa Delta standards for responsiveness, service, and oversight. Establish standards for facility projects and develop and maintain metrics to monitor facilities according to those standards. Develop and document standard processes and procedures to effectively operate chapter facilities. Observe best practices to ensure facilities managed by National Kappa Delta are financially stable and fiscally responsible. Serve as a resource for financial questions and best practices for designated projects. Provide support to the chapter budget process with current housing financial information. Programming, Training & Communication (10%) Develop training for housing that supports a positive, forward-thinking, member-focused experience in Kappa Delta chapter houses. Plan, implement, and evaluate chapter housing programs and services. Develop training and resources to assist volunteers and staff in supporting and managing facilities, including construction, permitting, and compliance topics. Assist in training and building curriculum for national training events such as Convention. Coordinate and develop intentional communication for local and national stakeholders. Produce and review chapter housing communications materials, including manuals, resources, newsletters, presentations, and other written and visual communication. Supervise assigned support staff and participate in the development of strategies for working with staff at facilities managed by National Kappa Delta. Performance Expectations & Leveling Alignment This role is aligned to Senior Manager-level expectations , including: Operating with significant autonomy and exercising independent judgment on complex, cross-functional projects Owning outcomes for capital projects, budgets, and vendor relationships, with accountability to the Chief Housing Officer Serving as the primary relationship manager and point of escalation for chapters, house corporations, contractors, and government agencies Applying deep functional expertise in construction, permitting, and regulatory compliance to guide project decisions Mentoring and providing direction to supervised staff and cross-functional project teams Identifying organizational risk and recommending strategic solutions to senior leadership Typically requires 8 or more years of relevant experience in project management, real estate, construction, or nonprofit facilities management Requirements Bachelor's or master's degree strongly preferred 8 or more years of experience in project management, construction, real estate, or nonprofit facility management Demonstrated experience managing construction projects, permitting processes, and government or regulatory compliance Knowledge of project management, real estate, construction planning and oversight, and property management Knowledge of the Higher Education housing market and needs of college students Strong relationship management skills, with proven ability to build and maintain positive working relationships with vendors, contractors, government officials, and volunteers Proficiency with computers for word processing, financial management, database management, property management, e-mail, and internet Excellent written and oral communication skills Ability to manage multiple complex projects, take initiative, and meet deadlines Ability to travel approximately 25% of the time Prior experience working or volunteering for a fraternal organization is a plus Membership in Kappa Delta Sorority is a plus Physical and Environmental Requirements Must be able to operate a computer and navigate applications with a smart phone, computer, and/or tablet. Position may require prolonged periods of sitting, as well as walking chapter facilities and construction sites. Travel of approximately 25% is required, including visits to chapter facilities and construction sites. Must be able to use hands and arms for repetitive movement such as movement of wrists, hands, and fingers while typing. Must be able to converse with colleagues, contractors, and government officials via phone, computer programs, and in person. . click apply for full job details
09/23/2026
Full time
Kappa Delta Sorority Job Description CHAPTER HOUSING Title: Senior Housing Manager Supervisor: Chief Housing Officer Status: Full-time Exempt Location: Remote or Memphis, TN (Candidates in proximity to Memphis are required to work onsite, 4 days a week). This role requires approximately 25% travel. Position Summary The Senior Housing Manager provides senior-level leadership and oversight for Kappa Delta chapter housing, with a strong focus on capital construction projects, permitting, and government and regulatory compliance. This role leads asset transactions, capital projects, and facility renovations for facilities managed by National Kappa Delta, and supports projects managed by local volunteers. The Senior Housing Manager also serves as a key relationship manager, building and maintaining strong working relationships with headquarters staff, volunteers, collegians, contractors, municipal officials, and house corporations to ensure Kappa Delta facilities remain safe, code-compliant, and competitive at the local level. This role requires travel of approximately 25% to visit chapter facilities, oversee construction and permitting activities, meet with staff and volunteers, and attend conferences and training. The Senior Housing Manager reports to the Chief Housing Officer . Why this Role Matters/What You'll Influence The Senior Housing Manager safeguards Kappa Delta's physical assets and its members' living experience. Through hands-on management of construction projects, disciplined permitting and regulatory compliance, and strong relationships with local officials, contractors, and volunteers, this role ensures chapter facilities are safe, secure, and well-positioned in competitive local housing markets. By leading capital projects from planning through completion and serving as the trusted point of contact for local and national stakeholders, this position directly protects Kappa Delta's real estate investments, reduces organizational risk, and helps chapters offer housing experiences that support recruitment, retention, and the overall member experience. Essential Functions Construction, Capital Projects & Facility Development (30%) Plan, organize, execute, and monitor assigned housing capital projects and new construction, from initial scope through completion. Manage asset transactions, facility updates, renovations, refurbishments, and new construction for facilities managed by National Kappa Delta, and support projects managed by local volunteers. Develop and control project deadlines, work plans, budgets, and activities related to assigned capital projects. Manage general contractors, architects, engineers, and other construction vendors to ensure projects meet quality, budget, and timeline standards. Assess the performance of assigned chapter facilities and aim to maximize ROI on capital investment. Coordinate cross-project activities with staff and volunteer stakeholders at the national and local levels. Permitting & Government Compliance (20%) Manage the permitting process for construction and renovation projects, including coordination with local building departments, zoning boards, fire marshals, and other regulatory authorities. Monitor and ensure compliance with applicable building codes, life safety codes, ADA requirements, and local, state, and federal housing regulations. Maintain documentation of permits, inspections, certificates of occupancy, and other compliance records for facilities managed by National Kappa Delta. Serve as the organization's point of contact for government and regulatory inquiries related to chapter housing. Advise the Chief Housing Officer on regulatory risk and compliance requirements affecting capital projects. Relationship & Stakeholder Management (15%) Serve as the primary relationship manager for contractors, architects, municipal officials, landlords, property managers, and other local vendors and contacts. Build and maintain strong working relationships with house corporations, local volunteers, and chapter leadership to support successful project execution. Coordinate the support and needs of national stakeholders, including the division NLT, collegiate experience, marketing and communications, housing resource specialists, and other volunteers. Maintain current, transparent communication about project status and future needs for local and national stakeholders. Represent Kappa Delta in a professional and collaborative manner in dealings with external partners and government agencies. Special Projects & Portfolio Oversight (10%) Support designated facilities managed by National Kappa Delta. Serve on National Leadership Team division team(s) as assigned. Evaluate the effectiveness of Kappa Delta housing support models and make periodic recommendations to the Chief Housing Officer. Provide management reports to the Chief Housing Officer. Operations & Vendor Management (15%) Oversee relationships with vendors, as assigned, and ensure vendors meet or exceed established Kappa Delta standards for responsiveness, service, and oversight. Establish standards for facility projects and develop and maintain metrics to monitor facilities according to those standards. Develop and document standard processes and procedures to effectively operate chapter facilities. Observe best practices to ensure facilities managed by National Kappa Delta are financially stable and fiscally responsible. Serve as a resource for financial questions and best practices for designated projects. Provide support to the chapter budget process with current housing financial information. Programming, Training & Communication (10%) Develop training for housing that supports a positive, forward-thinking, member-focused experience in Kappa Delta chapter houses. Plan, implement, and evaluate chapter housing programs and services. Develop training and resources to assist volunteers and staff in supporting and managing facilities, including construction, permitting, and compliance topics. Assist in training and building curriculum for national training events such as Convention. Coordinate and develop intentional communication for local and national stakeholders. Produce and review chapter housing communications materials, including manuals, resources, newsletters, presentations, and other written and visual communication. Supervise assigned support staff and participate in the development of strategies for working with staff at facilities managed by National Kappa Delta. Performance Expectations & Leveling Alignment This role is aligned to Senior Manager-level expectations , including: Operating with significant autonomy and exercising independent judgment on complex, cross-functional projects Owning outcomes for capital projects, budgets, and vendor relationships, with accountability to the Chief Housing Officer Serving as the primary relationship manager and point of escalation for chapters, house corporations, contractors, and government agencies Applying deep functional expertise in construction, permitting, and regulatory compliance to guide project decisions Mentoring and providing direction to supervised staff and cross-functional project teams Identifying organizational risk and recommending strategic solutions to senior leadership Typically requires 8 or more years of relevant experience in project management, real estate, construction, or nonprofit facilities management Requirements Bachelor's or master's degree strongly preferred 8 or more years of experience in project management, construction, real estate, or nonprofit facility management Demonstrated experience managing construction projects, permitting processes, and government or regulatory compliance Knowledge of project management, real estate, construction planning and oversight, and property management Knowledge of the Higher Education housing market and needs of college students Strong relationship management skills, with proven ability to build and maintain positive working relationships with vendors, contractors, government officials, and volunteers Proficiency with computers for word processing, financial management, database management, property management, e-mail, and internet Excellent written and oral communication skills Ability to manage multiple complex projects, take initiative, and meet deadlines Ability to travel approximately 25% of the time Prior experience working or volunteering for a fraternal organization is a plus Membership in Kappa Delta Sorority is a plus Physical and Environmental Requirements Must be able to operate a computer and navigate applications with a smart phone, computer, and/or tablet. Position may require prolonged periods of sitting, as well as walking chapter facilities and construction sites. Travel of approximately 25% is required, including visits to chapter facilities and construction sites. Must be able to use hands and arms for repetitive movement such as movement of wrists, hands, and fingers while typing. Must be able to converse with colleagues, contractors, and government officials via phone, computer programs, and in person. . click apply for full job details
Overview Being good neighbors - helping people, investing in our communities, and making the world a better place - is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a team and do some good! Grow Your Skills, Grow Your Potential Responsibilities Join our team as a Property Field Inspection Claim Specialist and showcase your expertise in handling accident and weather-related claims for homeowners, commercial properties, and large losses. We are looking for an experienced and highly skilled professional to contribute to our dynamic team. You will be the first point of contact to meet with our insureds, explain coverage, estimate damages, and help them through the claims process while providing Remarkable service. Key Responsibilities: Conduct on-site inspections and assessments of property damages for both residential and commercial claims Collaborate with policyholders, insurance agents, and other involved parties to gather information and resolve claims efficiently May occasionally require interacting with parties who express strong emotions or concerns about ongoing inspections or claim resolutions Provide exceptional customer service throughout the claims process, addressing inquiries and concerns promptly and professionally Gather necessary evidence, document findings, and prepare detailed reports to support the claims handling process Investigate and adjust both personal and commercial property claims with exposures up to $500,000 Evaluate coverage and policy terms to determine the validity of claims and ensure compliance with local regulations Negotiate and settle claims within the authorized limits, considering policy provisions, industry standards, and company guidelines Where you'll work: This position is located in East Bay Area, CA . Competitive candidates should reside within one of the listed zip codes and will service this same territory: 94501, 94502, 94505, 94506, 94507, 94509, 94511, 94513, 94514, 94516, 94517, 94518, 94519, 94520, 94521, 94523, 94525, 94526, 94528, 94530, 94531, 94541, 94542, 94546, 94547, 94548, 94549, 94553, 94556, 94561, 94563, 94564, 94565, 94569, 94572, 94575, 94577, 94578, 94579, 94580, 94583, 94595, 94596, 94597, 94598, 94601, 94602, 94603, 94605, 94606, 94607, 94608, 94609, 94610, 94611, 94612, 94613, 94618, 94619, 94621, 94702, 94703, 94704, 94705, 94706, 94707, 94708, 94709, 94710, 94720, 94801, 94803, 94804, 94805, 94806, 94850, 95202, 95203, 95204, 95205, 95206, 95211, 95219, 95231, 95330. This is a Remote-Field position in which you will work from home and utilize a mobile office/vehicle for in-person appointments. Although the primary work location is in the field, with a commutable distance from home, there will be opportunities for virtual work to be completed at home. Additionally, there may be occasions where you will be required to travel outside your assigned area to assist in other territories. Hours of operation are continually evaluated and may change based on business need. Successful candidates are able and willing to work flexible schedules and may be asked to work overtime and/or irregular hours. Qualifications Competitive candidates must demonstrate: Experience as a Property Field Inspection Claim Specialist in the insurance industry, specifically in property claims Strong knowledge of property insurance policies, coverage and claim handling practices Knowledge of both residential and commercial building construction Familiarity with local regulations and compliance requirements in your assigned territory Excellent communication and interpersonal skills to effectively interact with clients, agents, and other stakeholders Proven effective communication skills to handle difficult/emotional conversations with a customer-minded focus Proven ability to assess damages, estimate repair costs, and negotiate settlements Detail-oriented with strong organizational and analytical skills Proficient in using claims management software and other relevant tools Physical agility to allow for: frequent lifting, carrying and climbing a ladder; ability to navigate roofs at various heights for inspection of both residential and commercial structures; ability to crawl in tight spaces May be required to complete Rope and Harness Safety Training. A valid driver's license is required Preferred: Bachelor's Degree in a related field or equivalent work experience Experience in handling complex or high-value claims Construction background Water mitigation inspection experience Xactimate, XactContents Additional Details: Employees must successfully complete all required training, including applicable licensing exam(s) and background checks required of various state(s). State Farm recently implemented new pre-employment assessments. Candidates that have previously taken an assessment may be asked to participate in additional testing For San Francisco candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our Benefits Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week! Potential starting salary range: $73,824.56 - $118,245.00 / annually Starting salary will be based on skills, background, and experience High end of the range limited to applicants with significant relevant experience Potential yearly incentive pay up to 15% of base salary At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family! Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus. Stay Well! Focus on you and your family's health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more! Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring. Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union! Take a Little "You" Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you! Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund. Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary. Visit our State Farm Careers page for more information on our benefits , locations , and the hiring process of joining the State Farm team! PandoLogic. Category:Insurance,
02/03/2026
Full time
Overview Being good neighbors - helping people, investing in our communities, and making the world a better place - is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a team and do some good! Grow Your Skills, Grow Your Potential Responsibilities Join our team as a Property Field Inspection Claim Specialist and showcase your expertise in handling accident and weather-related claims for homeowners, commercial properties, and large losses. We are looking for an experienced and highly skilled professional to contribute to our dynamic team. You will be the first point of contact to meet with our insureds, explain coverage, estimate damages, and help them through the claims process while providing Remarkable service. Key Responsibilities: Conduct on-site inspections and assessments of property damages for both residential and commercial claims Collaborate with policyholders, insurance agents, and other involved parties to gather information and resolve claims efficiently May occasionally require interacting with parties who express strong emotions or concerns about ongoing inspections or claim resolutions Provide exceptional customer service throughout the claims process, addressing inquiries and concerns promptly and professionally Gather necessary evidence, document findings, and prepare detailed reports to support the claims handling process Investigate and adjust both personal and commercial property claims with exposures up to $500,000 Evaluate coverage and policy terms to determine the validity of claims and ensure compliance with local regulations Negotiate and settle claims within the authorized limits, considering policy provisions, industry standards, and company guidelines Where you'll work: This position is located in East Bay Area, CA . Competitive candidates should reside within one of the listed zip codes and will service this same territory: 94501, 94502, 94505, 94506, 94507, 94509, 94511, 94513, 94514, 94516, 94517, 94518, 94519, 94520, 94521, 94523, 94525, 94526, 94528, 94530, 94531, 94541, 94542, 94546, 94547, 94548, 94549, 94553, 94556, 94561, 94563, 94564, 94565, 94569, 94572, 94575, 94577, 94578, 94579, 94580, 94583, 94595, 94596, 94597, 94598, 94601, 94602, 94603, 94605, 94606, 94607, 94608, 94609, 94610, 94611, 94612, 94613, 94618, 94619, 94621, 94702, 94703, 94704, 94705, 94706, 94707, 94708, 94709, 94710, 94720, 94801, 94803, 94804, 94805, 94806, 94850, 95202, 95203, 95204, 95205, 95206, 95211, 95219, 95231, 95330. This is a Remote-Field position in which you will work from home and utilize a mobile office/vehicle for in-person appointments. Although the primary work location is in the field, with a commutable distance from home, there will be opportunities for virtual work to be completed at home. Additionally, there may be occasions where you will be required to travel outside your assigned area to assist in other territories. Hours of operation are continually evaluated and may change based on business need. Successful candidates are able and willing to work flexible schedules and may be asked to work overtime and/or irregular hours. Qualifications Competitive candidates must demonstrate: Experience as a Property Field Inspection Claim Specialist in the insurance industry, specifically in property claims Strong knowledge of property insurance policies, coverage and claim handling practices Knowledge of both residential and commercial building construction Familiarity with local regulations and compliance requirements in your assigned territory Excellent communication and interpersonal skills to effectively interact with clients, agents, and other stakeholders Proven effective communication skills to handle difficult/emotional conversations with a customer-minded focus Proven ability to assess damages, estimate repair costs, and negotiate settlements Detail-oriented with strong organizational and analytical skills Proficient in using claims management software and other relevant tools Physical agility to allow for: frequent lifting, carrying and climbing a ladder; ability to navigate roofs at various heights for inspection of both residential and commercial structures; ability to crawl in tight spaces May be required to complete Rope and Harness Safety Training. A valid driver's license is required Preferred: Bachelor's Degree in a related field or equivalent work experience Experience in handling complex or high-value claims Construction background Water mitigation inspection experience Xactimate, XactContents Additional Details: Employees must successfully complete all required training, including applicable licensing exam(s) and background checks required of various state(s). State Farm recently implemented new pre-employment assessments. Candidates that have previously taken an assessment may be asked to participate in additional testing For San Francisco candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our Benefits Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week! Potential starting salary range: $73,824.56 - $118,245.00 / annually Starting salary will be based on skills, background, and experience High end of the range limited to applicants with significant relevant experience Potential yearly incentive pay up to 15% of base salary At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family! Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus. Stay Well! Focus on you and your family's health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more! Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring. Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union! Take a Little "You" Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you! Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund. Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary. Visit our State Farm Careers page for more information on our benefits , locations , and the hiring process of joining the State Farm team! PandoLogic. Category:Insurance,
