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About the Role
Capital One is creating responsible and reliable AI systems to transform banking. We are at the forefront of enterprises leveraging AI, bringing humanity and simplicity to banking through AI & ML applications. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.
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 the long term roadmap of foundational AI systems at Capital One.
- Attract and retain top talent in the AI industry and nurture personal and professional development for your team.
- Foster a culture of learning and staying abreast of the state-of-the-art in AI.
- Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas.
- Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks.
- Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness.
- Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards.
Requirements
- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies.
- At least 3 years of people leadership experience.
- 5+ years of experience managing and leading an engineering team.
- 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
- Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang.
- Experience in building agentic AI systems and agentic workflows.
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
- Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently.
- Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks.
- Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews).
- Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs).
Skills
- AI
- ML
- Foundation model training
- Large language model inference
- Similarity search
- Guardrails
- Model evaluation
- Experimentation
- Governance
- Observability
- AWS Ultraclusters
- Huggingface
- VectorDBs
- PyTorch
- Python
- C++
- C#
- Java
- CUDA
- Golang
- Agentic AI systems
- Agentic workflows
- Responsible AI
- Fairness metrics
- Model evaluation protocols
- Documentation requirements
- Audit readiness
Location
- Cambridge, MA
- McLean, VA
- New York, NY
- San Francisco, CA
- San Jose, CA
Work Type
- Full-time
Experience Level
- Director
- 8 years of experience developing AI and ML algorithms or technologies
- 6 years of experience developing AI and ML algorithms or technologies
- 3 years of people leadership experience
- 5+ years of experience managing and leading an engineering team
- 7+ 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: $269,100 - $307,200
- McLean, VA: $269,100 - $307,200
- New York, NY: $293,600 - $335,100
- San Francisco, CA: $293,600 - $335,100
- San Jose, CA: $293,600 - $335,100
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
About the Company
- 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.
- 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.
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, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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.