Lead Software Engineer, Agentic Technology

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Employment: Full-time
Posted: 78 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 $204k

$134k $267k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,550–$237,562.

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 · Lead Software Engineer, Agentic Technology

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The Lead Software Engineer, Agentic Technology (Enterprise Platform) joins the engineering team to build an agentic orchestration runtime for an AI content generation platform. This role involves owning the generator-critic agentic workflow harness, coordinating AI agents to produce and refine marketing content through a bounded pipeline. You will also develop agentic infrastructure for AI-assisted content migration and management automation. Key responsibilities include integrating pipelines with enterprise LLM model gateways, managing API calls, and leading a portfolio of distributed microservices projects. Required technical skills include JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, alongside experience with RDBMS, NoSQL, Docker, Kubernetes, and AWS. You will utilize LangGraph or LangChain to manage state, tool calls, and conditional branching within multi-agent workflows to solve complex regulatory and content automation problems.

Skills

Python Java TypeScript Go JavaScript SQL AWS Kubernetes Docker LangChain LangGraph LLM NoSQL RDBMS Microservices Agile HTML/CSS Microsoft Azure

What you'll do

Build and operate the agentic workflow harness for the AI content generation pipeline.
Implement generator agents, critic agents, and multi-section parallel orchestration.
Integrate the agentic pipeline with the enterprise LLM model gateway.
Manage API calls, rate limiting, backpressure, and latency metrics for LLM services.
Lead a portfolio of technology projects and a team of developers to meet regulatory needs.
Develop robust cloud-based solutions using AWS, Docker, and Kubernetes.
Mentor other members of the engineering community and share knowledge on tech trends.

What we're looking for

At least 4 years of experience in software engineering.
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
Master's Degree (preferred).
7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go (preferred).
3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service (preferred).
4+ years of experience in open source frameworks (preferred).
1+ years of people management experience (preferred).

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