Senior 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
$314,800–$359,300 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $337k
$147k most similar roles pay here $382k

This role pays more than 98% of similar roles. Most pay $170,000–$246,150 — the shaded band above. At the midpoint, this role pays about $337k versus about $208k 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 719 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 712 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Distinguished AI Engineer, Agentic AI Platform

As a Senior Distinguished AI Engineer on the Agentic AI Platform team, you will play a pivotal role in shaping the architecture of an enterprise-grade platform that standardizes and automates agentic workflows. Your day-to-day responsibilities include evaluating leading frameworks like LangGraph, AutoGen, Semantic Kernel, and LlamaIndex to develop robust patterns for new applications, ensuring they meet stringent SLAs. You will also contribute to creating a comprehensive GenAI SDK, CLI, and starter kits that streamline the development of secure and observable agentic workflows. Additionally, you will focus on trust and safety by designing central guardrail services and optimizing orchestration to reduce costs while enhancing performance. This role requires expertise in deploying scalable AI solutions, LLMOps, Kubernetes, and a deep understanding of responsible AI practices.

What you'll do

  • Contribute to the architecture of an agentic AI platform, publishing and refining APIs.
  • Evaluate and standardize agentic frameworks to meet enterprise SLAs.
  • Develop a GenAI SDK, CLI, and starter kits to streamline workflow creation.
  • Design central guardrail services for trust and safety in AI applications.
  • Optimize orchestration and retrieval caching to reduce per token spend.
  • Own Helm charts, operators, and CRDs for auto-scaling agents to meet SLAs.

What we're looking for

  • At least 8 years of experience developing AI and ML algorithms or technologies.
  • Experience deploying scalable and responsible AI solutions on cloud platforms.
  • Proficiency in supporting agentic frameworks like LangChain, AutoGen, CrewAI.
  • Expertise in LLMOps including Google Cloud Vertex AI, Amazon SageMaker.
  • Deep understanding of Responsible AI, data privacy, and multi-tenant security patterns.
  • Mastery of Kubernetes for managing multi-region clusters and service mesh.

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