Lead AI Automation Engineer(Agentic Frameworks)
Role summary
Fourways Consulting Services, a client in the Pharma domain, is seeking a Lead AI Automation Engineer to spearhead the transition to an AI-infused Software Testing Life Cycle (STLC). The role involves designing and building a proprietary Agentic AI Platform using LLM agents for tasks like requirement analysis, test case derivation, and automated script generation (Playwright). The engineer will also integrate the platform with ALM tools and Jira, and lead the team through this technological shift. Expertise in agentic workflows, LLM integration, Playwright, and DevOps/ALM integration is required.
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Job Title: Lead AI Automation Engineer(Agentic Frameworks)
Role Overview
Location: Charlotte, NC or Atlanta, GA
No of Positions: 4 in Atlanta 1 in Charlotte, NC
Position type: Subcon/Fulltime.
Duration: Long term
Client: Pharma domain
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.
