Lead Value Engineer - Life Sciences
Core
Lead Value Engineer specializing in Life Sciences, solving business-critical supply chain problems for large diversified life science organizations using Celonis Process Intelligence and AI/ML.
Role type
Lead Value Engineer (Life Sciences Supply Chain)
Builds
Celonis Process Intelligence solutions, AI prototypes, and agentic systems for supply chain optimization.
Domain
Life Sciences, Pharmaceutical, MedTech, Supply Chain
Deliverable
production ML models | product features | client delivery
Required skills
Generative AI techniques (RAG, prompt engineering, multi-agent orchestration), Python, ML libraries (LangChain, PyTorch, sklearn), Supply chain process expertise (S&OP, Track & Trace, Cold Chain), ERP/QMS integration, Presentation skills
Preferred skills
Agentic systems building, Life sciences data standards (GS1 EPCIS), LLM ecosystem tools (LlamaIndex), Cloud model deployment (AWS Bedrock, Azure AI, GCP Vertex)
Technologies
Celonis Process Intelligence, Microsoft, OpenAI, Databricks, SAP, Python, LangChain, PyTorch, AWS Bedrock, Azure AI, GCP Vertex
Responsibilities
Translate complex logistics requirements into innovative AI solutions, lead technical discovery and demonstrations, build creative prototypes in customer hackathons, enable autonomous AI agents for supply chain, execute Proof-of-Value projects with LLM/agent systems, serve as technical subject matter expert for Life Sciences Supply Chain
Seniority
Senior, hands-on IC