Distinguished AI Engineer (Agentic AI Platform)

Capital One Financial

Quick summary

Work type
On-site
Location
San Francisco, CAMcLean, VACambridge, MASan Jose, CANew York, NY
Salary
$269,100–$307,200 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k
This role $288k
$144k most similar roles pay here $325k

This role pays more than 95% of similar roles. Most pay $162,000–$244,012 — the shaded band above. At the midpoint, this role pays about $288k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 716 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 709 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Distinguished AI Engineer (Agentic AI Platform)

As a Distinguished AI Engineer on the enterprise Generative AI Platform team, you will design and refine agentic workflow frameworks, shared services like memory and guardrails, and SDKs that enable product teams to build secure and explainable AI applications used by millions. Your day-to-day involves evaluating and integrating agentic frameworks such as LangGraph and AutoGen, crafting an end-to-end GenAI SDK for rapid prototyping, and ensuring trust through central guardrail services. You will also optimize orchestration performance, incubate proof of concepts, and mentor staff engineers while representing the platform at key AI conferences. Preferred qualifications include extensive experience in deploying scalable AI solutions on cloud platforms, leading complex AI systems, and mastering Kubernetes. This role demands expertise in Responsible AI, data privacy, and multi-tenant security patterns, with a focus on driving innovation across internal and external communities.

What you'll do

  • Design and refine the agentic workflow framework and shared services for an enterprise Generative AI Platform.
  • Evaluate and standardize agentic frameworks to meet enterprise SLAs and enable widespread adoption by new applications.
  • Develop an end-to-end GenAI SDK, CLI, and starter kits to streamline secure and observable agentic workflows.
  • Create central guardrail services to ensure trust and safety in the platform, preventing severe incidents.
  • Optimize orchestration for performance improvements and cost reductions through heuristic tuning and retrieval caching.
  • Own Helm charts, operators, and CRDs to auto-scale agents to meet tenant service level agreements.

What we're looking for

  • At least 8 years of experience in developing AI and ML algorithms or technologies.
  • Experience deploying scalable and responsible AI solutions on cloud platforms.
  • Proficiency with Agentic Frameworks such as LangChain, CrewAI, Semantic Kernel, AutoGen.
  • Expertise in LLMOps including Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning.
  • Deep understanding of Responsible AI, data privacy, and multi-tenant security patterns.
  • Experience leading the architecture of GenAI or LLM-Powered applications in production.
  • Mastery of Kubernetes (multi-region clusters, service mesh).

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