Distinguished AI Engineer, Agentic AI Platform

Capital One Financial

Confirmed live today Low trust

Remote

Quick summary

Work type: Remote
Location: San Francisco, CAMcLean, VACambridge, MASan Jose, CANew York, NY
Employment: Full-time
Posted: 92 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $212k

$157k $274k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,350–$253,812.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Distinguished AI Engineer, Agentic AI Platform

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JOB TITLE: Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) The Distinguished AI Engineer - Agentic AI Platform joins the Intelligent Foundations and Experiences team to build an enterprise Generative AI Platform. You will design agentic workflow frameworks, shared services like memory, guardrails, and vector search, and develop SDKs and blueprints to translate foundation model power into production applications. Key responsibilities include standardizing agentic workflows, crafting end-to-end GenAI SDKs, and managing central Helm charts and CRDs to auto-scale agents. You will utilize technologies including Python, Go, Scala, Java, C++, C#, LangGraph, AutoGen, Semantic Kernel, LlamaIndex, and K8s. The role solves the technical challenge of providing safe, explainable, and scalable AI capabilities across multiple lines of business while optimizing orchestration-level batching and retrieval caching to reduce per-token spend.

What does a AI Engineer earn in California?

Median $246150 from 100 postings across 17 companies.

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Skills

Python Go Scala Java C++ C# LangGraph AutoGen Semantic Kernel CrewAI LlamaIndex LangChain LLMOps AWS Google Cloud Vertex AI Azure Machine Learning Helm VectorDB RAG

What you'll do

Design the agentic workflow framework, including shared services for memory, guardrails, vector search, and SDKs.
Contribute to the north star platform architecture by refining canonical APIs for agent orchestration and RAG pipelines.
Evaluate and harden agentic frameworks like LangGraph and AutoGen to meet enterprise SLAs.
Develop an end-to-end GenAI SDK, CLI, and starter kits to accelerate production timelines.
Build central guardrail services including prompt firewalls, content-filter hooks, and audit APIs.
Optimize orchestration-level batching and retrieval caching to reduce per-token spend.
Own central Helm charts, operators, and CRDs to auto-scale agents to hit tenant SLAs.
Mentor senior engineers and author technical design documents to amplify the platform vision.

What we're looking for

Bachelor's degree in Computer Science, Engineering, or AI plus 8 years of experience developing AI and ML algorithms or technologies.
Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies.
At least 8 years of experience programming with Python, Go, Scala, or Java.
8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
8+ years of experience designing mission-critical machine learning platforms (preferred).
2+ years of experience supporting Agentic Frameworks such as LangChain, CrewAI, Semantic Kernel, or AutoGen (preferred).
2+ years of experience with LLMOps such as Google Cloud Vertex AI, Amazon SageMaker, or Azure Machine Learning (preferred).
Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders (preferred).

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