Lead AI Automation Engineer

Job Title: Lead AI Automation Engineer(Agentic Frameworks)

Location: Charlotte, NC or Atlanta, GA

No of Positions: 4 in Atlanta 1 in Charlotte, NC

Position type: Contract/Fulltime.

Duration: Long term

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.