Full-Stack AI Engineer: GenAI & Agentic Systems

Capital One National Association; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking a Full Stack Engineer 4 in McLean, VA, to drive GenAI and agentic systems across People Tech. You’ll architect enterprise-scale AI capabilities, build autonomous workflows, and collaborate with security and product teams to deliver robust cloud-based solutions.

The role emphasizes leadership, full-stack expertise, and a passion for modern tools like LangChain, LangGraph, Docker, Kubernetes, and AWS services within a fast-paced, inclusive environment.

Qualifications

• Bachelor's Degree or higher in Computer Science or related quantitative field
• At least 4 years of software engineering experience
• At least 2 years of experience with public cloud platforms (AWS, GCP, Azure) or cloud-based tools

Responsibilities

• Architect LLM-driven capabilities for enterprise HR and HRTech
• Design, build, and deploy autonomous agentic AI solutions and multi-agent workflows
• Collaborate with security, governance, and risk teams for secure, compliant AI capabilities
• Lead a portfolio of distributed microservices and full stack systems across the enterprise
• Mentor engineers and stay current with cutting-edge tech trends

Skills

Software engineering

Cloud platforms experience

Education

Bachelor's degree or higher in CS or related

Tools

AWS

GCP

Azure

Docker

Kubernetes

CI/CD

Infrastructure as code

Job description

Capital One is seeking a Full Stack Engineer 4 in McLean, VA, to drive GenAI and agentic systems across People Tech. You’ll architect enterprise-scale AI capabilities, build autonomous workflows, and collaborate with security and product teams to deliver robust cloud-based solutions.

The role emphasizes leadership, full-stack expertise, and a passion for modern tools like LangChain, LangGraph, Docker, Kubernetes, and AWS services within a fast-paced, inclusive environment.