Distinguished AI Engineer (Agentic AI Platform)

Capital One Financial

Actively hiring
San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · New York, NY Posted 16 days ago $269,100$307,200 / year

At a glance

AI generated

TL;DR

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, developing an end-to-end GenAI SDK for rapid prototyping, ensuring trust and safety through central guardrail services, and optimizing orchestration for cost efficiency. You will also collaborate with cross-organization architects to drive performance improvements and incubate proof of concepts like hierarchical agent memory. Preferred qualifications include experience with Python, Go, Scala, or Java, deploying scalable AI solutions on cloud platforms, supporting agentic frameworks, and leading complex AI system architectures in production.

Skills

Python Go Kubernetes LangChain AutoGen SemanticKernel LLMOps GoogleCloudVertexAI AmazonSageMaker AzureMachineLearning CI/CD ResponsibleAI DataPrivacy MultiTenantSecurityPatterns Prometheus Grafana

What you'll do

  • Design and refine the agentic workflow framework and shared services for an enterprise Generative AI Platform.
  • Evaluate and integrate agentic frameworks to standardize workflows that meet enterprise SLAs.
  • Develop an end-to-end GenAI SDK, CLI, and starter kits to streamline secure and observable agentic workflow creation.
  • Create central guardrail services to ensure trust and safety in AI applications across the organization.
  • Optimize orchestration for performance improvements and cost reductions in token spend.
  • Coach and evangelize platform vision through architecture office hours, mentoring, and technical documentation.

What we're looking for

  • At least 8 years of experience developing AI and ML algorithms or technologies.
  • Strong programming skills in Python, Go, Scala, or Java.
  • 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.

Market check

Salary context

This $269,100–$307,200 range sits above 92% of similar postings on FindRole.

Peer median band

$168,500$240,050

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$159,937$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 489 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.

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View all roles at Capital One Financial

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