Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible)

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

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.

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.

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.

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 1-800-304-9102 or via email at [email protected]. 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 [email protected]

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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).