Lead AI Engineer – Agentic Test Automation
Why This Role Stands Out
Lead AI Engineering for agentic test automation at a reputable client like Freddie Mac offers a significant opportunity to shape cutting-edge solutions. You'll thrive in this role if you possess extensive AI and agentic development experience and are eager to drive innovation within a dedicated team. This on-site position is an excellent chance to advance your career in a vital technology domain.
Quick Overview
Job Description
Lead AI Engineer – Agentic Test Automation
Client: Freddie Mac
Location: McLean, VA (100% Onsite – Must be within 40 miles)
Employment Type: Contract (C2C)
Experience: 10+ Years (5+ Years in AI/Agentic Development Required)
Shortlisting Deadline: July 23
Interview Process: Round 1 – Virtual | Round 2 – Onsite (Target: July 28 – August 4)
Important Submission Requirements
- 100% Onsite – McLean, VA
- Candidate must live within 40 miles of Freddie Mac''s HQ
- Full home address is mandatory at submission (no exceptions).
- Must be available for onsite interview
- No coding assessment
Job Summary
Freddie Mac is hiring a Lead AI Engineer – Agentic Test Automation to establish an enterprise-scale LLM-powered test automation platform. The engineer will build intelligent agents that automate test creation, maintenance, validation, and quality gates across engineering teams using GitHub Copilot, LLMs, Karate, Playwright, and Java.
This is not a traditional Java developer role. The primary focus is on Agentic AI, AI workflows, and intelligent automation for testing.
The hiring manager strongly prefers candidates with an AI/Agentic Engineering background who also have working knowledge of Java and Karate.
Roles & Responsibilities
- Build LLM-powered agents for enterprise test automation.
- Design intelligent workflows for automated test creation and maintenance.
- Develop AI quality gates across engineering teams.
- Utilize GitHub Copilot for AI-assisted development.
- Integrate Karate API testing with Playwright UI automation.
- Build agentic workflows around Java-based APIs.
- Implement guardrails and structured AI outputs using JSON schemas.
- Collaborate with engineering teams in Agile/Kanban environments.
- Optimize AI-driven software quality and automation processes.
- Drive innovation in enterprise AI-assisted testing.
Required Qualifications
- Bachelor''s Degree in Computer Science, Engineering, or related field.
- 5+ years of AI / Agentic Engineering experience.
- Hands-on experience building LLM-powered agents.
- Strong GitHub Copilot and GitHub platform expertise.
- Experience with Karate and Playwright.
- Comfortable working in Java environments.
- Strong communication and leadership skills.
Preferred Qualifications
- LangChain
- LangGraph
- OpenAI APIs
- MCP
- Multi-Agent Systems
- Enterprise AI Automation
Skills
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