Lead AI Automation Engineer(Agentic Frameworks)
Atlanta, VA
Contracted
Experienced
Job Title: Lead AI Automation Engineer(Agentic Frameworks)
Location: Atlanta, GA
Position type: Subcon/Full-time.
What are we looking for?
Key Responsibilities:
Required Technical Skills:
Preferred Qualifications:
Location: Atlanta, GA
Position type: Subcon/Full-time.
What are we looking for?
- We are seeking a visionary Lead AI Automation Engineer to spearhead the transition from traditional testing to an AI-infused Software Testing Life Cycle (STLC). You will be responsible for designing and building a proprietary Agentic AI Platform that automates the journey from initial requirements to executable automation scripts.
- This is not a role for a prompt engineer; we are looking for a builder who can develop a multi-agent orchestration layer using our internal Large Language Models (LLMs) to redefine quality engineering.
Key Responsibilities:
- Platform Architecture: Design and build an Agentic Platform that utilizes specialized LLM agents to handle distinct phases of the STLC.
- Agent Development: Develop and fine-tune specialized AI agents, including:
- Product Owner Agent: To analyze requirements and draft comprehensive user stories.
- Test Lead Agent: To derive complex test scenarios and cases from stories.
- Automation Engineer Agent: To automatically generate high-quality Playwright scripts.
- Orchestration & Integration: Build the "connected intelligence layer" by integrating the AI platform with ALM tools and Jira.
- Technical Leadership: Lead the engineering team through a significant technology and mindset shift, moving away from manual script maintenance toward AI-driven generation.
- Framework Evolution: Transition existing automation frameworks into an AI-first ecosystem, ensuring compatibility with tools like Model Context Protocol (MCP) servers.
Required Technical Skills:
- AI/ML Engineering: Proven experience building Agentic Workflows and multi-agent orchestration (e.g., LangGraph, AutoGen, or CrewAI).
- LLM Implementation: Deep understanding of integrating LLMs into production environments beyond simple API calls, including knowledge of RAG frameworks.
- Advanced Automation: Expert-level proficiency in Playwright and modern TypeScript/JavaScript testing ecosystems.
- Tooling Expertise: Experience with MCP (Model Context Protocol) and AI-native IDEs like Cursor.
- DevOps/ALM Integration: Strong experience with Jira API integrations and ALM (Application Lifecycle Management) software.
Preferred Qualifications:
- Experience building custom AI tools that review user stories or perform static analysis on requirements.
- A background in migrating legacy testing frameworks to modern, AI-augmented architectures.
- The ability to articulate a clear technical roadmap for AI-infused testing that spans the entire SDLC.
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