Back
Tier-1 brand, metro locations and mid-level role increase competition despite niche GenAI/PLM specialization.
Strong GenAI, LLM, PLM and supply-chain domain requirements make the role industry- and skill-specific.
Multiple explicit experience bands and mandatory technical skills (PLM, LLM, Python, cloud, vector DBs) increase filter rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy generative AI and agentic AI solutions targeting product development use cases.
Configure and extend PLM platforms (Teamcenter, Windchill, 3DEXPERIENCE, SAP PLM) to support workflows, integrations, and data models.
Develop large language model (LLM) agents, multi-agent workflows, and retrieval-augmented generation (RAG) solutions using supply chain and engineering data, integrating with AWS and Azure cloud environments.
6-9 years of experience in software engineering, enterprise application development, AI, ML, or product lifecycle management.
3+ years experience with PLM platforms like Teamcenter, Windchill, 3DEXPERIENCE, or SAP PLM.
2+ years experience building LLM-driven agents and multi-agent workflows using LangChain, LangGraph, or similar frameworks.
Bachelor's degree in BE, BTech, MCA, MSc (Computer Science), or equivalent from an accredited university.
Experienced in enterprise supply chain or product development domains, with hands-on PLM and AI solution delivery background.
Able to translate functional requirements into scalable, cloud-integrated AI and PLM solutions, using AWS and/or Azure environments.
Experienced working in medium to large consulting teams with cross-location collaboration, mentoring junior staff and interfacing with clients.