Please Note: PLM experience is Mandatory. We require only GC candidates. No other Visas will work.
Position Overview
We are seeking a highly skilled AI Engineer to design and deliver an AI-powered support bot for Hypercare query resolution. This role focuses on building intelligent agentic workflows, integrating enterprise systems, and ensuring compliance with governed environments. The engineer will collaborate with Hypercare, PLM, and support teams to enable faster, more accurate incident .
Key Responsibilities
- Design and build an AI-powered support bot (web/chat-based) for Hypercare query resolution
- Develop agentic workflows to retrieve and synthesise answers from:
- Past incident tickets
- Knowledge bases and documentation
- PLM (Teamcenter) systems
- Implement RAG / multi-source retrieval pipelines for contextual and accurate responses
- Build APIs and backend services using Python (FastAPI) and Apple-approved AI frameworks
- Ensure compliance with Apple security, governance, and AI platform constraints
- Collaborate with Hypercare, PLM, and support teams to continuously improve response accuracy
Core Requirements
- Strong experience in Python backend development (FastAPI preferred)
- Hands-on in building LLM-based systems (RAG, agentic workflows, knowledge assistants)
- Experience in data integration from multiple enterprise systems (tickets, logs, APIs)
- Good understanding of support workflows, incident triage, and knowledge management systems
- Strong API design, microservices, and distributed system fundamentals
Preferred / Good to Have
- Experience in PLM domain (Agile / Teamcenter)
- Exposure to Hypercare / production support environments
- Experience working with enterprise AI platforms and governed environments
Success Criteria
- Reduce mean time to resolution (MTTR) during Hypercare
- Enable self-service query resolution for support engineers
- Deliver a scalable AI support framework for future releases