AI Engineer 5 (GenAI Platform Services, Agentic Platform)

Capital One; San Jose (CA); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One is seeking an AI Engineer 5 for GenAI Platform Services in San Jose to build responsible, scalable AI systems and agentic workflows. You will partner with cross‑functional teams to design, train, deploy, and optimize AI components, including LLM inference, vector databases, and model governance.

You will mentor senior engineers, influence technical roadmaps, and help advance production-grade AI across Capital One products while ensuring ethical deployment and cost efficiency.

Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus at least 6 years of experience developing AI/ML algorithms or technologies.
• Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI/ML algorithms or technologies.
• At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java.

Responsibilities

• Partner with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi‑agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Invent and introduce state‑of‑the‑art foundation model optimization techniques to improve performance, scalability, cost, latency, throughput of large scale production AI systems.
• Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards.

Skills

Python

Go

Scala

CUDA

Java

AI Systems

Cloud platforms

Leadership

Communication

Cost optimization

Education

Bachelor's degree in Computer Science or related field

Master's degree in related fields

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Open Source AI

Job description

AI Engineer 5 (GenAI Platform Services, Agentic Platform)

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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi‑agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage 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. Design, implement and optimize multi‑model orchestration pipelines – integrating LLMs, vector search, and domain‑specific models into unified systems. Establish and lead cost‑performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency. Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards. Mentor Principal and Manager‑level AI engineers, fostering cross‑domain learning and elevating organizational technical maturity.

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 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.

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,
• 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 6 years of experience programming with Python, Go, Scala, CUDA, or Java.

Preferred Qualifications

• Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy,
• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud),
• Experience designing, developing, delivering, and supporting complex AI systems,
• 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 developing and applying state‑of‑the‑art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost,
• 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 architecting and integrating heterogeneous AI systems – including rule‑based, retrieval‑augmented, and generative components – into unified production pipelines,
• Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human‑in‑the‑loop review processes,
• Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression,
• Experience right‑sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs).

Salary

• Cambridge, MA: $229,900 - $262,400 for AI Engineer 5
• McLean, VA: $229,900 - $262,400 for AI Engineer 5
• New York, NY: $250,800 - $286,200 for AI Engineer 5
• San Jose, CA: $250,800 - $286,200 for AI Engineer 5
• 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.

Benefits and Compensation

• 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.
• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
• Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.

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, Article23‑A of the New York Correction Law; SanFrancisco, California Police Code Article49, Sections4901-4920; NewYork 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.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

At Capital One, we’re building a leading information‑based technology company. Still founder‑led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking.

We measure our efforts by the success our customers enjoy and the advocacy they exhibit.