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About the Role

Capital One is creating responsible and reliable AI systems to change banking for good. We are at the forefront of enterprises leveraging AI, bringing humanity and simplicity to banking through AI & ML applications. This role 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 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.
Define and drive enterprise-wide AI strategy, aligning product, research, risk, and data organizations around shared technical and ethical principles.
Establish a multi-year roadmap for scalable, reliable, and compliant AI systems.
Champion Responsible-AI, ensuring ethical, transparent, and explainable model practices are embedded in all lines of business.
Oversee the scaling of AI operations, including model lifecycle management, observability, and cost efficiency, across hundreds of production use cases.

Requirements

Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies.
At least 5 years of people leadership experience.
7+ years of experience managing and leading an engineering team.
8+ 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.
Demonstrated experience leading leaders and multiple AI engineering organizations across product, platform and applied research domains.
Proven success in building enterprise-scale AI platforms and capabilities serving diverse business lines and customer use cases.
Ability to influence executive leadership on AI investment strategy, organizational design, and risk management priorities.
Experience establishing external partnerships or thought leadership presence in AI industry, academia, or open-source communities.
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
Cloud Platforms (AWS, Google Cloud, Azure)

Location

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

Work Type

Remote
Hybrid

Experience Level

Senior Director
10+ years of experience developing AI and ML algorithms or technologies (with Bachelor's)
8+ years of experience developing AI and ML algorithms or technologies (with Master's)
5+ years of people leadership experience
7+ years of experience managing and leading an engineering team
8+ 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

Remote (Regardless of Location): $286,200 - $326,700
Cambridge, MA: $314,800 - $359,300
McLean, VA: $314,800 - $359,300
New York, NY: $343,400 - $392,000
San Francisco, CA: $343,400 - $392,000
San Jose, CA: $343,400 - $392,000

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

At Capital One, we are creating responsible and reliable AI systems, changing banking for good.
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.
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.