Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI)

Capital One National Association; San Francisco (CA); Hybrid; USD 250,800 - 286,200; Full time

Benefits offered by this job

Comprehensive health benefits

Financial benefits

Support for total well-being

Job summary

A leading financial institution in California seeks a Senior Lead AI Engineer to design and develop innovative AI products. The successful candidate will collaborate with diverse teams to optimize AI systems and solutions, contributing significantly to modern banking. A Bachelor's degree in a related field and substantial experience in AI development are required. The role offers competitive compensation and comprehensive benefits aimed at well-being.

Qualifications

• Bachelor's degree plus 6+ years of experience or Master's degree plus 4+ years of experience in AI.
• At least 6 years programming experience in Python, Go, Scala, or Java.
• Experience deploying AI solutions on cloud platforms.

Responsibilities

• Partner with cross-functional teams to deliver AI products.
• Design and develop AI software components.
• Optimize large-scale AI systems.

Skills

Programming with Python

AI and ML algorithm development

Cloud platform deployment

Communication skills

Resilience

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in Computer Science or related field

Tools

AWS

PyTorch

Huggingface

VectorDBs

Java

C++

Job description

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. Our investments in technology infrastructure and world‑class talent position us to lead in AI. From informing customers about unusual charges to answering their questions in real time, our AI and ML applications bring humanity and simplicity to banking.

Team Description

The Intelligent Foundations and Experiences (IFX) team brings our AI vision to life. We work hand‑in‑hand with partners across the company to advance AI science and engineering, building and deploying proprietary solutions that deliver value to millions of customers. Our AI models and platforms empower teams to enhance products with transformative, responsible AI.

In this role, you will

• Partner with cross‑functional teams 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, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent state‑of‑the‑art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput of large‑scale production AI systems.
• Contribute to the technical vision and long‑term roadmap of foundational AI systems at Capital One.

The Ideal Candidate

• You love building systems, take pride in the quality of your work, and share our passion for doing the right thing.
• You stay abreast of the latest research and can intuitively understand scientific publications, applying novel techniques in production.
• You adapt quickly, thrive on bringing clarity to big, undefined problems, and articulate findings concisely.
• You possess a strong foundation in engineering and mathematics, with expertise in hardware, software, and AI that enables optimization insights.
• You are a resilient trail‑blazer who forges 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 6 years of experience developing AI and ML algorithms or technologies, or a Master’s degree plus at least 4 years of experience.
• At least 6 years of experience programming with Python, Go, Scala, or Java.

Preferred Qualifications

• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
• Experience designing, developing, integrating, delivering, and supporting complex AI systems.
• Demonstrated ability to lead and mentor an engineering team and influence cross‑functional stakeholders.
• Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang.
• Experience applying state‑of‑the‑art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
• Passion for staying abreast of the latest AI research and applying novel techniques in production.
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Salary and Benefits

Annual salary ranges:

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

Benefits include comprehensive health, financial, and other benefits supporting total well‑being. Eligibility varies based on status and levels.

Equal Opportunity & Disability/Criminal History

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 will consider qualified applicants with a criminal history in accordance with relevant legal requirements.