Lead Software Engineer, Agentic Technology (Enterprise Platform)

Capital One • McLean, VA

23h

About The Position

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. We are hiring a Lead Software Engineer to build the agentic orchestration runtime that powers Capital One's AI content generation platform. You will own the generator→critic agentic workflow harness — the orchestration engine that coordinates AI agents to produce, evaluate, and refine marketing content through a structured, bounded pipeline — and the broader agentic infrastructure that supports AI-assisted content migration and content management automation.

Requirements

• Bachelor’s Degree
• At least 4 years of experience in software engineering (Internship experience does not apply)
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Nice To Haves

• Master's Degree
• 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
• 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
• 4+ years of experience in open source frameworks
• 1+ years of people management experience
• 2+ years of experience in Agile practices
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
• Experience with agentic or multi-step LLM pipeline design — LangGraph, LangChain, or equivalent orchestration framework; understanding of how to structure tool calls, state management, and conditional branching in a multi-agent workflow.
• Experience building with LLM APIs (OpenAI-compatible or equivalent) in production — you should understand prompt construction, response parsing, token budgeting, and error handling in real service contexts, not just Jupyter notebooks.

Responsibilities

• Build and operate the agentic workflow harness — implement the generator agent, critic agent, multi-section parallel orchestration, and bounded revision loop that form the core of the AI content generation pipeline
• Integrate the agentic pipeline with the enterprise LLM model gateway — manage API calls, handle rate limiting, implement backpressure, and instrument latency and quality metrics.
• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Benefits

• comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
• performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior