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  1. Home
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  5. Sr. Distinguished AI Engineer (Agentic AI Platform)
Capital One logo

Sr. Distinguished AI Engineer (Agentic AI Platform)

Not Disclosed•Full-TimeOn-site

location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

Apply Now

About the Mission

At Capital One, we are creating responsible and reliable AI systems to change banking for good. For years, we have been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 building world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.

About the Team

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 partners across the company to advance the state of the art in science and AI engineering. 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.

About the Role

As a Sr. Distinguished AI Engineer, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses. You will 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.

You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries, and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows; you will evaluate frameworks such as LangGraph, AutoGen, Semantic Kernel, CrewAI, and LlamaIndex to harden and blend patterns that best meet enterprise SLAs. You will also craft an end-to-end GenAI SDK, CLI, and starter kits that let AI engineers spin up secure, observable agentic workflows in minutes, shrinking prototyping to production timelines.

Trust and safety remain paramount; you will help bring together a vision of central guardrail services—including prompt firewalls, content-filter hooks, red team harnesses, and audit APIs—consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross-organization architects to drive end-to-end performance by optimizing orchestration-level batching, retrieval caching, and heuristic tuning. Finally, you will coach and evangelize by hosting architecture office hours, mentoring Staff, Principal, and Senior engineers, authoring technical design documents, and representing Capital One at Tier 1 AI conferences.

The Ideal Candidate

You love to build systems, take pride in the quality of your work, and share our passion to do the right thing. You want to work on problems that will help change banking for good. You possess a 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, articulating your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.

Hiring Process

This role is expected to accept applications for a minimum of 5 business days. No agencies please.

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 and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws. If you require an accommodation to apply, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.

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Skills, education and keywords

Skills: Machine Learning, Agentic Frameworks, Langgraph, Autogen, Semantic Kernel, Crewai, Llamaindex, Genai SDK, Llmops, Vertex Ai.

Education: Bachelor's degree in Computer Science, Engineering, or AI required with 10+ years experience; Master's degree in Computer Science, Engineering, or relevant technical field preferred.

Frequently asked questions about Sr. Distinguished AI Engineer (Agentic AI Platform) at Capital One

What does a Sr. Distinguished AI Engineer (Agentic AI Platform) at Capital One do?expand_more
Day-to-day, the Sr. Distinguished AI Engineer (Agentic AI Platform) at Capital One will mentor senior engineers and evangelize platform vision through technical design documents and conferences; design and refine platform architecture including agent orchestration, rag pipelines, and canonical apis; evaluate and standardize agentic frameworks to harden enterprise patterns and meet slas; and architect central guardrail services including prompt firewalls, content filters, and audit apis.
What are the requirements for this Sr. Distinguished AI Engineer (Agentic AI Platform) role?expand_more
To qualify for the Sr. Distinguished AI Engineer (Agentic AI Platform) at Capital One position, applicants should have: Bachelor's degree in CS, Engineering, or AI plus 10 years AI/ML experience; Master's degree in CS, Engineering, or AI plus 8 years AI/ML experience; 10+ years experience with Python, Go, Scala, or Java; and Work authorization sponsorship available.
Where is the Sr. Distinguished AI Engineer (Agentic AI Platform) role at Capital One located?expand_more
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Work location

Work model: On-site

location_on

NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

New York, New York

Key Responsibilities

  • check_circleMentor senior engineers and evangelize platform vision through technical design documents and conferences
  • check_circleDesign and refine platform architecture including agent orchestration, RAG pipelines, and canonical APIs
  • check_circleEvaluate and standardize agentic frameworks to harden enterprise patterns and meet SLAs
  • check_circleArchitect central guardrail services including prompt firewalls, content filters, and audit APIs
  • check_circleOwn and maintain Helm charts, operators, and CRDs to auto-scale agents for tenant SLAs
  • check_circleDevelop end-to-end GenAI SDKs, CLIs, and starter kits to accelerate prototyping to production
  • check_circleOptimize orchestration performance through batching, caching, and heuristic tuning to reduce costs

Requirements

  • verifiedBachelor's degree in CS, Engineering, or AI plus 10 years AI/ML experience
  • verifiedMaster's degree in CS, Engineering, or AI plus 8 years AI/ML experience
  • verified10+ years experience with Python, Go, Scala, or Java
  • verifiedWork authorization sponsorship available

Nice to Have

9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud); 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel, or AutoGen); 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning); 8+ years of experience designing mission-critical machine learning platforms; 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems; demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level; experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang; Master's degree in Computer Science, Computer Engineering, or relevant technical field; experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost; excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers; experience leading GenAI or LLM-Powered application architectures in production; deep understanding of Responsible AI, data privacy and multi-tenant security patterns; K8s mastery (multi-region clusters, service mesh); experience staying abreast of the latest AI research and AI systems and applying novel techniques in production.

Benefits & Perks

check_circleComprehensive health, financial, and other benefits for total well-beingcheck_circlePerformance-based incentive compensation including cash bonuses and long-term incentivescheck_circleEmployment authorization sponsorship for qualified applicants
Capital One logo
Company

Capital One

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

10+ yrs (Lead)

Education

Bachelor's degree in Computer Science, Engineering, or AI required with 10+ years experience

Job Type

Full-Time

Skills Required

Machine LearningAgentic FrameworksLanggraphAutogenSemantic KernelCrewai
$105k-175k
arrow_forward
Sr. Distinguished AI Engineer (Agentic AI Platform) at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Sr. Distinguished AI Engineer (Agentic AI Platform) job remote, hybrid, or on-site?expand_more
Capital One has listed this Sr. Distinguished AI Engineer (Agentic AI Platform) role as on-site.
How much experience is required for this Sr. Distinguished AI Engineer (Agentic AI Platform) role?expand_more
Sr. Distinguished AI Engineer (Agentic AI Platform) at Capital One typically requires 10+ years of relevant experience at the lead level.
What skills do you need for the Sr. Distinguished AI Engineer (Agentic AI Platform) role at Capital One?expand_more
Key skills for Sr. Distinguished AI Engineer (Agentic AI Platform) at Capital One include Machine Learning; Agentic Frameworks; Langgraph; Autogen; Semantic Kernel; Crewai; Llamaindex; and Genai SDK.
What education is required for Sr. Distinguished AI Engineer (Agentic AI Platform) at Capital One?expand_more
Educational requirements for this role: Bachelor's degree in Computer Science, Engineering, or AI required with 10+ years experience; and Master's degree in Computer Science, Engineering, or relevant technical field preferred.
What category does the Sr. Distinguished AI Engineer (Agentic AI Platform) role belong to?expand_more
Sr. Distinguished AI Engineer (Agentic AI Platform) at Capital One is part of the it job category on Recrutus.
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