Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)

Information Technology Senior Management Forum; San Jose (CA); À distance; USD 343 000 - 392 000; Plein temps

Résumé du poste

Capital One is seeking a Senior Director of AI Engineering to lead the Agentic AI Platform. You will oversee foundation model training, inference, and governance, while driving scalable, responsible AI across the enterprise.

You will mentor leaders, shape the technical roadmap, and partner with cross-functional teams to deliver AI-powered products for customers and associates. You will guide a team of engineers and researchers, balancing build-vs-buy decisions, cost efficiency, and performance,

Qualifications

• Bachelor's or Master's with 8–10+ years in AI/ML
• Minimum 5 years of people leadership experience

Responsabilités

• Partner with cross-functional teams to deliver AI-powered products
• Oversee design, development, testing, deployment, and support of AI software components
• Make build-vs-buy decisions across Open Source and SaaS AI technologies
• Invent optimization techniques for foundation models to improve performance, cost and latency
• Contribute to long-term AI systems roadmap and strategy
• Mentor and develop AI engineering talent and foster learning culture
• Define enterprise-wide AI strategy and multi-year scalable infrastructure
• Champion Responsible-AI practices across lines of business
• Oversee AI operations scale across hundreds of production use cases

Connaissances

People leadership

AI/ML fundamentals

Cross-functional collaboration

Communication skills

Technical problem solving

Formation

Bachelor's degree in CS/AI/EE/CE or related

Master's degree in CS/AI/EE/CE or related

Outils

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Description du poste

Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)

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.

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.
• Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Make high judgment build‑vs‑buy decisions across 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.
• 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 that serve as shared infrastructure across the enterprise
• 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

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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands‑on when necessary and lead by example
• 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

Capital One is open to hiring a Remote or Hybrid Employee for this opportunity. If the role is designated as Hybrid, you are expected to adhere to Capital One's hybrid policy regarding required on‑site presence at your designated office location. If the role is designated as Remote, you are expected to adhere to Capital One's Remote Worker Expectations

Basic Qualifications:

• 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

Preferred Qualifications:

• 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)

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.

Remote (Regardless of Location): $286,200 - $326,700 for Sr. Director, AI Engineer

Cambridge, MA: $314,800 - $359,300 for Sr. Director, AI Engineer

McLean, VA: $314,800 - $359,300 for Sr. Director, AI Engineer

New York, NY: $343,400 - $392,000 for Sr. Director, AI Engineer

San Francisco, CA: $343,400 - $392,000 for Sr. Director, AI Engineer

San Jose, CA: $343,400 - $392,000 for Sr. Director, 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.

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.