Lead Ai Engineer w/. Agentic Test Automation
Vsg Business Solutions
McLean, VA, United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Agile Methodology
Artificial Intelligence
Amazon Web Services
Automation of Tests
Github
JSON
Python (Programming Language)
Machine Learning
Microsoft UI Automation
Data Driven Tests
SQL Databases
+8 more
Test Data
GitHub Copilot
Large Language Models
Playwright
Virtual Agents
Webhooks
GPT
Microservices
Job description
Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you’ll be part of an Agile team dedicat…
- 3 days ago, Sr. Distinguished AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an i…
- 3 days ago, Lead Machine Learning Engineer (Manager IC) At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology …
- 3 days ago +
Requirements
Looking for a hands-on Lead AI Engineer who can build LLM/agentic solutions specifically for test automation and engineering quality workflows. This is a development-heavy role, not a traditional QA/management position. Must-Have Skills
-
GenAI / LLM / Agentic AI
- Hands-on experience building LLM-powered agents
- Tool-using / multi-step agent workflows, guardrails
- Prompting, structured JSON outputs, evaluation, hallucination reduction
- AI for test generation, test maintenance, failure analysis, reporting, and requirements review
-
GitHub / GitHub Copilot
- Strong GitHub Copilot experience
- GitHub Actions, reusable workflows, composite actions
- PR checks, branch protection, CODEOWNERS, GitHub APIs/webhooks
-
Test Automation - MUST HAVE
- Karate API/contract/data-driven testing
- Playwright UI automation, selectors, parallel execution, trace/video
- Strong knowledge of API, UI, integration, contract and negative/edge-case testing
-
AI + Test Reporting
- Aggregate test results across multiple microservices/pipelines
- Failure clustering, trend analysis, root-cause suggestions
- GenAI-generated release-readiness / quality reports
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Quality/Requirements Agents
- Build AI checks for acceptance criteria, missing requirements, test data, dependencies, edge cases
- Integrate quality gates into GitHub/CI workflows, AI/Agentic Engineer + strong Test Automation Engineer - someone who has actually built AI agents and automation frameworks, not just used ChatGPT/Copilot.
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Apply on www.careerjet.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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