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About the Role

Capital One is at the forefront of enterprises leveraging AI, with a mission to create responsible and reliable AI systems that change banking for good. The Intelligent Foundations and Experiences (IFX) team builds and deploys proprietary AI solutions that advance the state of the art in science and AI engineering, empowering teams across the company to enhance products with AI in responsible and scalable ways.

Responsibilities

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
Oversee the design, development, testing, deployment, and support of AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies.
Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance of large scale production AI systems.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
Attract and retain top talent in the AI industry and nurture personal and professional development for your team.
Foster a culture of learning and staying abreast of the state-of-the-art in AI.
Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts.
Operationalize Responsible AI by establishing review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems.
Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies.
At least 1 year of people leadership experience.
3 years of experience managing and leading an engineering team.
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang.
Experience in building agentic AI systems and agentic workflows.
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery.
Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance.
Track record mentoring engineers/scientists to productize prototypes and meet production SLOs.
Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs).

Skills

AI
ML algorithms
Foundation model training
Large language model inference
Similarity search
Guardrails
Model evaluation
Experimentation
Governance
Observability
AWS Ultraclusters
Huggingface
VectorDBs
PyTorch
Agentic AI systems
Agentic workflows
MLOps
AI observability

Location

Cambridge, MA
McLean, VA
New York, NY
San Francisco, CA
San Jose, CA

Work Type

Full-time

Experience Level

Sr. Manager
6 years of experience
4 years of experience
1 year of people leadership experience
3 years of experience managing and leading an engineering team
6 years of experience deploying scalable and responsible AI solutions on cloud platforms

Education Level

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Salary/Compensations

Cambridge, MA: $229,900 - $262,400
McLean, VA: $229,900 - $262,400
New York, NY: $250,800 - $286,200
San Francisco, CA: $250,800 - $286,200
San Jose, CA: $250,800 - $286,200

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

About the Company

Capital One is an industry leader in using machine learning to create real-time, personalized customer experiences.
Our investments in technology infrastructure and world-class talent position us to be at the forefront of enterprises leveraging AI.
Our applications of AI & ML bring humanity and simplicity to banking.
We are committed to continuing to build world-class applied science and engineering teams to deliver 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.

Equal Opportunity

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.