Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
06/25/2026
Full time
Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
06/24/2026
Full time
Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
Senior iMIS Consultant Hybrid Remote/Office - United States Full-time Competitive Salary + Benefits Remote Flexibility The Opportunity IBC is seeking a Senior iMIS Consultant to join our U.S. consulting team. This role is ideal for a highly experienced iMIS professional who will jump in quickly, manage client implementations, and configure complex solutions with minimal ramp-up time. You'll work directly with association clients to optimize their iMIS systems, improve member experiences, and guide digital transformation - all while collaborating with an experienced, supportive team that values innovation and quality. What You'll Do Lead iMIS implementation and upgrade projects from discovery through post-go-live support Configure iMIS modules, RiSE pages, and business rules based on client requirements Develop IQAs, dashboards, and SSRS reports to support analytics and operations Troubleshoot complex data, process, and configuration issues Provide training, documentation, and ongoing guidance to client teams Collaborate with project managers, developers, and other consultants to ensure on-time, high-quality delivery Stay current with iMIS EMS updates and help refine IBC's internal methodologies What You Bring 2+ years of hands-on iMIS consulting, implementation, or support experience (even if within your own association) Expertise with iMIS EMS configuration, RiSE customization, and reporting tools (IQA, SSRS, SQL) Strong understanding of association operations - membership, renewals, events, CE tracking, commerce Excellent communication, organization, and problem-solving skills Ability to work independently, manage competing priorities, and lead client conversations confidently Nice to Have Experience with data migration, system upgrades, or custom integrations Familiarity with web technologies (HTML, CSS, JavaScript) Experience with Sage Intacct or other association technology platforms Why You'll Love Working at IBC Salary Range of $98,000 to $115,000 with annual reviews Health, dental, and vision insurance Paid time off and professional development opportunities Remote-first flexibility with a close-knit, collaborative culture Opportunities to work on diverse association projects across North America A people-first company where integrity, innovation, and teamwork drive everything we do About Intuitive Business Concepts (IBC) For more than 20 years, Intuitive Business Concepts (IBC) has helped associations and nonprofits feel good about technology. As an Authorized iMIS Solution Provider (AiSP) and award-winning consulting firm, we specialize in implementing, customizing, and supporting iMIS EMS - the leading association management system - along with related platforms such as Sage Intacct, TopClass, and OpenWater. Our team of experts delivers technology with heart - combining deep technical skills, practical experience, and a genuine commitment to helping associations succeed. Powered by JazzHR PI8e0eefd5-
06/18/2026
Full time
Senior iMIS Consultant Hybrid Remote/Office - United States Full-time Competitive Salary + Benefits Remote Flexibility The Opportunity IBC is seeking a Senior iMIS Consultant to join our U.S. consulting team. This role is ideal for a highly experienced iMIS professional who will jump in quickly, manage client implementations, and configure complex solutions with minimal ramp-up time. You'll work directly with association clients to optimize their iMIS systems, improve member experiences, and guide digital transformation - all while collaborating with an experienced, supportive team that values innovation and quality. What You'll Do Lead iMIS implementation and upgrade projects from discovery through post-go-live support Configure iMIS modules, RiSE pages, and business rules based on client requirements Develop IQAs, dashboards, and SSRS reports to support analytics and operations Troubleshoot complex data, process, and configuration issues Provide training, documentation, and ongoing guidance to client teams Collaborate with project managers, developers, and other consultants to ensure on-time, high-quality delivery Stay current with iMIS EMS updates and help refine IBC's internal methodologies What You Bring 2+ years of hands-on iMIS consulting, implementation, or support experience (even if within your own association) Expertise with iMIS EMS configuration, RiSE customization, and reporting tools (IQA, SSRS, SQL) Strong understanding of association operations - membership, renewals, events, CE tracking, commerce Excellent communication, organization, and problem-solving skills Ability to work independently, manage competing priorities, and lead client conversations confidently Nice to Have Experience with data migration, system upgrades, or custom integrations Familiarity with web technologies (HTML, CSS, JavaScript) Experience with Sage Intacct or other association technology platforms Why You'll Love Working at IBC Salary Range of $98,000 to $115,000 with annual reviews Health, dental, and vision insurance Paid time off and professional development opportunities Remote-first flexibility with a close-knit, collaborative culture Opportunities to work on diverse association projects across North America A people-first company where integrity, innovation, and teamwork drive everything we do About Intuitive Business Concepts (IBC) For more than 20 years, Intuitive Business Concepts (IBC) has helped associations and nonprofits feel good about technology. As an Authorized iMIS Solution Provider (AiSP) and award-winning consulting firm, we specialize in implementing, customizing, and supporting iMIS EMS - the leading association management system - along with related platforms such as Sage Intacct, TopClass, and OpenWater. Our team of experts delivers technology with heart - combining deep technical skills, practical experience, and a genuine commitment to helping associations succeed. Powered by JazzHR PI8e0eefd5-
Director, Distinguished Engineer (Card TECH) As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. In this role, you will work with our Platform Engineering organization to provide AI-enabled tools for pipeline optimization and deterministic transformation capabilities that dramatically improve developer workflow, quality, and reliability. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle. Decompose complex problems in CI/CD friction and technical debt into practical, operational, and scalable platform solutions. Lead the productionization of capabilities that optimize the Inner and Outer Loop (CI/CD, deployment, and testing) and enable Shift-Left practices. Serve as an authoritative expert on non-functional system characteristics, particularly performance, scalability, and observability of the engineering toolchain itself. Drive innovation by experimenting with and delivering capabilities that utilize Deterministic Code Transformation and AI/ML for engineering workflows (e.g., Intelligent Test Selection). Act as a role model and mentor within the tech community, coaching teams on modern reliability, platform engineering, and automation best practices. Basic Qualifications: Bachelor's Degree in Computer Science or a related field. At least 10 years of experience in Software Engineering and Solution Architecture for large-scale distributed systems. At least 5 years of professional experience leveraging public cloud platforms such as AWS, Microsoft Azure, or Google Cloud At least 5 years of professional experience writing and delivering Proofs of Concept (POCs) for novel technologies or architectural patterns At least 5 years of experience with Infrastructure as Code (IaC) using tools such as AWS CDK or CloudFormation. At least 5 years of professional experience driving the adoption of enterprise-level design patterns and best practices for software quality and reliability. At least 5 years of hands-on professional experience coding in two or more of the following languages: Java, JavaScript, Python, or Go. Preferred Qualifications: Master's Degree in Computer Science or a related field 10+ years of professional experience in the full lifecycle of system development 10+ years of professional experience coding in languages like Java, Python, Go, or JavaScript. 5+ years of experience designing and implementing CI/CD pipelines at scale using tools like Jenkins, GitHub Actions, or Tekton. Expertise with Policy-as-Code (PaC) technologies such as Open Policy Agent (OPA). Experience with Abstract Syntax Trees (ASTs), static analysis tools, or other forms of programmatic code manipulation for automated refactoring. Experience in MLOps or applying Artifical Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing). Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing). Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished Engineer Richmond, VA: $244,700 - $279,200 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
01/27/2026
Full time
Director, Distinguished Engineer (Card TECH) As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. In this role, you will work with our Platform Engineering organization to provide AI-enabled tools for pipeline optimization and deterministic transformation capabilities that dramatically improve developer workflow, quality, and reliability. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle. Decompose complex problems in CI/CD friction and technical debt into practical, operational, and scalable platform solutions. Lead the productionization of capabilities that optimize the Inner and Outer Loop (CI/CD, deployment, and testing) and enable Shift-Left practices. Serve as an authoritative expert on non-functional system characteristics, particularly performance, scalability, and observability of the engineering toolchain itself. Drive innovation by experimenting with and delivering capabilities that utilize Deterministic Code Transformation and AI/ML for engineering workflows (e.g., Intelligent Test Selection). Act as a role model and mentor within the tech community, coaching teams on modern reliability, platform engineering, and automation best practices. Basic Qualifications: Bachelor's Degree in Computer Science or a related field. At least 10 years of experience in Software Engineering and Solution Architecture for large-scale distributed systems. At least 5 years of professional experience leveraging public cloud platforms such as AWS, Microsoft Azure, or Google Cloud At least 5 years of professional experience writing and delivering Proofs of Concept (POCs) for novel technologies or architectural patterns At least 5 years of experience with Infrastructure as Code (IaC) using tools such as AWS CDK or CloudFormation. At least 5 years of professional experience driving the adoption of enterprise-level design patterns and best practices for software quality and reliability. At least 5 years of hands-on professional experience coding in two or more of the following languages: Java, JavaScript, Python, or Go. Preferred Qualifications: Master's Degree in Computer Science or a related field 10+ years of professional experience in the full lifecycle of system development 10+ years of professional experience coding in languages like Java, Python, Go, or JavaScript. 5+ years of experience designing and implementing CI/CD pipelines at scale using tools like Jenkins, GitHub Actions, or Tekton. Expertise with Policy-as-Code (PaC) technologies such as Open Policy Agent (OPA). Experience with Abstract Syntax Trees (ASTs), static analysis tools, or other forms of programmatic code manipulation for automated refactoring. Experience in MLOps or applying Artifical Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing). Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing). Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished Engineer Richmond, VA: $244,700 - $279,200 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Director, Distinguished Engineer (Card TECH) As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. In this role, you will work with our Platform Engineering organization to provide AI-enabled tools for pipeline optimization and deterministic transformation capabilities that dramatically improve developer workflow, quality, and reliability. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle. Decompose complex problems in CI/CD friction and technical debt into practical, operational, and scalable platform solutions. Lead the productionization of capabilities that optimize the Inner and Outer Loop (CI/CD, deployment, and testing) and enable Shift-Left practices. Serve as an authoritative expert on non-functional system characteristics, particularly performance, scalability, and observability of the engineering toolchain itself. Drive innovation by experimenting with and delivering capabilities that utilize Deterministic Code Transformation and AI/ML for engineering workflows (e.g., Intelligent Test Selection). Act as a role model and mentor within the tech community, coaching teams on modern reliability, platform engineering, and automation best practices. Basic Qualifications: Bachelor's Degree in Computer Science or a related field. At least 10 years of experience in Software Engineering and Solution Architecture for large-scale distributed systems. At least 5 years of professional experience leveraging public cloud platforms such as AWS, Microsoft Azure, or Google Cloud At least 5 years of professional experience writing and delivering Proofs of Concept (POCs) for novel technologies or architectural patterns At least 5 years of experience with Infrastructure as Code (IaC) using tools such as AWS CDK or CloudFormation. At least 5 years of professional experience driving the adoption of enterprise-level design patterns and best practices for software quality and reliability. At least 5 years of hands-on professional experience coding in two or more of the following languages: Java, JavaScript, Python, or Go. Preferred Qualifications: Master's Degree in Computer Science or a related field 10+ years of professional experience in the full lifecycle of system development 10+ years of professional experience coding in languages like Java, Python, Go, or JavaScript. 5+ years of experience designing and implementing CI/CD pipelines at scale using tools like Jenkins, GitHub Actions, or Tekton. Expertise with Policy-as-Code (PaC) technologies such as Open Policy Agent (OPA). Experience with Abstract Syntax Trees (ASTs), static analysis tools, or other forms of programmatic code manipulation for automated refactoring. Experience in MLOps or applying Artifical Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing). Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing). Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished Engineer Richmond, VA: $244,700 - $279,200 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
01/27/2026
Full time
Director, Distinguished Engineer (Card TECH) As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. In this role, you will work with our Platform Engineering organization to provide AI-enabled tools for pipeline optimization and deterministic transformation capabilities that dramatically improve developer workflow, quality, and reliability. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle. Decompose complex problems in CI/CD friction and technical debt into practical, operational, and scalable platform solutions. Lead the productionization of capabilities that optimize the Inner and Outer Loop (CI/CD, deployment, and testing) and enable Shift-Left practices. Serve as an authoritative expert on non-functional system characteristics, particularly performance, scalability, and observability of the engineering toolchain itself. Drive innovation by experimenting with and delivering capabilities that utilize Deterministic Code Transformation and AI/ML for engineering workflows (e.g., Intelligent Test Selection). Act as a role model and mentor within the tech community, coaching teams on modern reliability, platform engineering, and automation best practices. Basic Qualifications: Bachelor's Degree in Computer Science or a related field. At least 10 years of experience in Software Engineering and Solution Architecture for large-scale distributed systems. At least 5 years of professional experience leveraging public cloud platforms such as AWS, Microsoft Azure, or Google Cloud At least 5 years of professional experience writing and delivering Proofs of Concept (POCs) for novel technologies or architectural patterns At least 5 years of experience with Infrastructure as Code (IaC) using tools such as AWS CDK or CloudFormation. At least 5 years of professional experience driving the adoption of enterprise-level design patterns and best practices for software quality and reliability. At least 5 years of hands-on professional experience coding in two or more of the following languages: Java, JavaScript, Python, or Go. Preferred Qualifications: Master's Degree in Computer Science or a related field 10+ years of professional experience in the full lifecycle of system development 10+ years of professional experience coding in languages like Java, Python, Go, or JavaScript. 5+ years of experience designing and implementing CI/CD pipelines at scale using tools like Jenkins, GitHub Actions, or Tekton. Expertise with Policy-as-Code (PaC) technologies such as Open Policy Agent (OPA). Experience with Abstract Syntax Trees (ASTs), static analysis tools, or other forms of programmatic code manipulation for automated refactoring. Experience in MLOps or applying Artifical Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing). Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing). Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished Engineer Richmond, VA: $244,700 - $279,200 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
The FreedomPay Commerce Platform is the technology of choice for many of the largest companies across the globe in retail, hospitality, lodging, gaming, sports and entertainment, foodservice, education, healthcare and financial services. FreedomPay’s technology has been purposely built to deliver rock solid performance in the highly complex environment of global commerce. The company maintains a world-class security environment and was first to earn the coveted validation by the PCI Security Standards Council against Point-to-Point Encryption (P2PE/EMV) standard in North America. FreedomPay’s robust solutions across payments, security, identity and data analytics are available in-store, online and on-mobile and are supported by rapid API adoption. The award winning FreedomPay Commerce Platform operates on a single, unified technology stack across multiple continents allowing enterprises to deliver a consistent, repeatable experience on a global scale. FreedomPay is a fast paced, high growth company with a great culture with competitive benefits and compensation with a business casual atmosphere. We are currently seeking a seasoned Sr. Software Architect with experience in the Microsoft technology stack (.NET, C#, SQL) and various other technologies. In this full-time, salaried position, they will join a team of world class architects, engineers and developers solving complex problems. This position will have multiple responsibilities including solution architecting and software design of complex systems. The right candidate will be comfortable with systems integration and have experience bringing sub-systems together into a single system. The software architect must be able to leverage various frameworks, patterns, and tools. They will have shared accountability for the quality of the solution and ensure seamless integration and implementations. This position will report to the Director of Software Architecture.
Job Responsibilities
Analyze and understand client’s technology environment including system process and data flows, integrations, interactions and dependencies, and conceptual designs
Understand and participate in the entirety of the enterprise architecture, systems, services, platforms, and technology
Participate in business requirements gathering activities with project managers, business systems analysts, and other architects
Conduct white board design sessions with clients, both internal and external
Architect complex software solutions using business requirements and produce appropriate artifacts such as functional and operational requirements, and software prototypes
Present/communicate the architecture and software solutions to key stake holders, team members, and developers
Understanding of architectural design patterns, their strengths and weaknesses, and when it’s appropriate to use them
Work within Scrum teams to create Epics and Development Requests and provide estimates
Follow, enforce, and contribute to technical and coding standards and approaches to promote reuse and consistency
Facilitate and conduct regular code reviews to ensure best demonstrated practices and proper architecture
Collaborate with the QA team to ensure proper test plan, test coverage, test execution, and defect remediation
Provide expertise and oversight to developers for solution delivery, from a technical/architecture perspective
Required Skills and Experience
At least a BS/BA Degree in MIS, Computer Science, Engineering, or related field
A minimum of 10 years experience as a Software Developer/Engineer/Architect
A minimum of 2 years experience in high volume transactional processing environments including multi-threaded services and service bus implementations (preferably financial or payment related industry)
Strong English written and verbal interpersonal communication skills
Broad experience with Microsoft technology stack, as well as an understanding of competitive technologies
.NET and Visual Studio
C#, ASP.NET, strong object-oriented experience
Web services; WCF, SOA, RESTful services
MVC 3+, Entity Framework, nHibernate, JavaScript, jQuery, Knockout, Ajax, LINQ, JSON, CSS, XML, NUnit, Spring.NET
SQL 20012+, Oracle 10+
Cloud services and platforms such as AWS, Azure, etc.
Service bus and event hub architecture
CICD with team city, octopus deploy, etc.
Git, Bitbucket, SVN, Artifactory, NuGet, Docker Containerization
Strong database design and performance experience
Experience designing systems that handle large amounts of secure data
Experience developing, designing, and architecting the properly sized solutions for small, medium and large complex software and database systems within large enterprise environments that include complex system integrations and processes; successfully communicating conceptual ideas and design rationale to build consensus
Abstract thinking skills and employing experience and knowledge to create innovative solutions
Experience architecting mobile and distributed applications and platforms including complex distributed service environments (SOA, distributed windows applications and services, and SDK’s)
An ability to articulate architectural differences between solution methods and the challenges and approaches to integrating solutions built on different platforms including a working knowledge of different architectural frameworks that may be used by our customers and our development teams.
Experience developing Multithreaded services (windows services)
Resolve technical problems, disputes, and make tradeoffs as appropriate
Manage risk identification and risk mitigation strategies associated with the architecture
Ensure the architecture is sustainable, deployable, and secure
Excellent multi-tasking skills, managing multiple initiatives at one time in a fast-paced environment
Strong MS Office, Project and Visio skills
Travel may be required (U.S. and International)
Desired Skills and Experience
Experience with Xamarin, Objective C, iOS, Android and Win phone platforms
Experience with strategies for migration to microservices and Service Fabric in a brownfield environment
Technical competence in other programming languages such as C, C++, and Java
As the fastest growing commerce company in the industry, we offer the opportunity for tremendous upward mobility within the company as well as development and professional growth opportunities. FreedomPay provides exceptional benefits including medical, prescription, dental and vision coverage, Life Insurance, 401K with company match, commission sharing plan, and a modern working environment. All positions must be able to successfully pass a background check as well as a credit check.
06/20/2020
Full time
The FreedomPay Commerce Platform is the technology of choice for many of the largest companies across the globe in retail, hospitality, lodging, gaming, sports and entertainment, foodservice, education, healthcare and financial services. FreedomPay’s technology has been purposely built to deliver rock solid performance in the highly complex environment of global commerce. The company maintains a world-class security environment and was first to earn the coveted validation by the PCI Security Standards Council against Point-to-Point Encryption (P2PE/EMV) standard in North America. FreedomPay’s robust solutions across payments, security, identity and data analytics are available in-store, online and on-mobile and are supported by rapid API adoption. The award winning FreedomPay Commerce Platform operates on a single, unified technology stack across multiple continents allowing enterprises to deliver a consistent, repeatable experience on a global scale. FreedomPay is a fast paced, high growth company with a great culture with competitive benefits and compensation with a business casual atmosphere. We are currently seeking a seasoned Sr. Software Architect with experience in the Microsoft technology stack (.NET, C#, SQL) and various other technologies. In this full-time, salaried position, they will join a team of world class architects, engineers and developers solving complex problems. This position will have multiple responsibilities including solution architecting and software design of complex systems. The right candidate will be comfortable with systems integration and have experience bringing sub-systems together into a single system. The software architect must be able to leverage various frameworks, patterns, and tools. They will have shared accountability for the quality of the solution and ensure seamless integration and implementations. This position will report to the Director of Software Architecture.
Job Responsibilities
Analyze and understand client’s technology environment including system process and data flows, integrations, interactions and dependencies, and conceptual designs
Understand and participate in the entirety of the enterprise architecture, systems, services, platforms, and technology
Participate in business requirements gathering activities with project managers, business systems analysts, and other architects
Conduct white board design sessions with clients, both internal and external
Architect complex software solutions using business requirements and produce appropriate artifacts such as functional and operational requirements, and software prototypes
Present/communicate the architecture and software solutions to key stake holders, team members, and developers
Understanding of architectural design patterns, their strengths and weaknesses, and when it’s appropriate to use them
Work within Scrum teams to create Epics and Development Requests and provide estimates
Follow, enforce, and contribute to technical and coding standards and approaches to promote reuse and consistency
Facilitate and conduct regular code reviews to ensure best demonstrated practices and proper architecture
Collaborate with the QA team to ensure proper test plan, test coverage, test execution, and defect remediation
Provide expertise and oversight to developers for solution delivery, from a technical/architecture perspective
Required Skills and Experience
At least a BS/BA Degree in MIS, Computer Science, Engineering, or related field
A minimum of 10 years experience as a Software Developer/Engineer/Architect
A minimum of 2 years experience in high volume transactional processing environments including multi-threaded services and service bus implementations (preferably financial or payment related industry)
Strong English written and verbal interpersonal communication skills
Broad experience with Microsoft technology stack, as well as an understanding of competitive technologies
.NET and Visual Studio
C#, ASP.NET, strong object-oriented experience
Web services; WCF, SOA, RESTful services
MVC 3+, Entity Framework, nHibernate, JavaScript, jQuery, Knockout, Ajax, LINQ, JSON, CSS, XML, NUnit, Spring.NET
SQL 20012+, Oracle 10+
Cloud services and platforms such as AWS, Azure, etc.
Service bus and event hub architecture
CICD with team city, octopus deploy, etc.
Git, Bitbucket, SVN, Artifactory, NuGet, Docker Containerization
Strong database design and performance experience
Experience designing systems that handle large amounts of secure data
Experience developing, designing, and architecting the properly sized solutions for small, medium and large complex software and database systems within large enterprise environments that include complex system integrations and processes; successfully communicating conceptual ideas and design rationale to build consensus
Abstract thinking skills and employing experience and knowledge to create innovative solutions
Experience architecting mobile and distributed applications and platforms including complex distributed service environments (SOA, distributed windows applications and services, and SDK’s)
An ability to articulate architectural differences between solution methods and the challenges and approaches to integrating solutions built on different platforms including a working knowledge of different architectural frameworks that may be used by our customers and our development teams.
Experience developing Multithreaded services (windows services)
Resolve technical problems, disputes, and make tradeoffs as appropriate
Manage risk identification and risk mitigation strategies associated with the architecture
Ensure the architecture is sustainable, deployable, and secure
Excellent multi-tasking skills, managing multiple initiatives at one time in a fast-paced environment
Strong MS Office, Project and Visio skills
Travel may be required (U.S. and International)
Desired Skills and Experience
Experience with Xamarin, Objective C, iOS, Android and Win phone platforms
Experience with strategies for migration to microservices and Service Fabric in a brownfield environment
Technical competence in other programming languages such as C, C++, and Java
As the fastest growing commerce company in the industry, we offer the opportunity for tremendous upward mobility within the company as well as development and professional growth opportunities. FreedomPay provides exceptional benefits including medical, prescription, dental and vision coverage, Life Insurance, 401K with company match, commission sharing plan, and a modern working environment. All positions must be able to successfully pass a background check as well as a credit check.
