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Lead Software Engineer, Agentic Technology (Enterprise Platform

Job in Northern, Floyd County, Kentucky, USA
Listing for: Capital One Group
Full Time position
Listed on 2026-08-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Full Stack Developer, Backend Developer
Salary/Wage Range or Industry Benchmark: 197000 - 225000 USD Yearly USD 197000.00 225000.00 YEAR
Job Description & How to Apply Below
Position: Lead Software Engineer, Agentic Technology (Enterprise Platform)
Location: Northern

Lead Software Engineer, Agentic Technology (Enterprise Platform)
Skip to main content#Lead Software Engineer, Agentic Technology (Enterprise Platform) page is loaded## Lead Software Engineer, Agentic Technology (Enterprise Platform)
Apply locations:
McLean, VA:
Richmond, VAtime type:
Full time posted on:
Posted Todayjob requisition :
R248625

Lead Software Engineer, Agentic Technology (Enterprise Platform)
** 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.
*****
* What You’ll Do:

****
* ** 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 back pressure, 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, Type Script, SQL, Python, and Go, Open Source RDBMS and No

SQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
*****
* Basic Qualifications:

****
* ** 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)
*****
* Preferred Qualifications:

****
* ** Master's Degree**
* ** 7+ years of experience in at least one of the following:
JavaScript, Java, Type Script, 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 — Lang Graph, Lang Chain, 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.
***** At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related…
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