Lead Value Engineer - Life Sciences

📋 Description

• AI Discovery & Solutioning: map client AI strategy to supply chain needs.
• Pre- and Post-Sales: lead technical discovery and capability demos.
• Hackathons & Prototyping: build AI prototypes for supply chain use cases.
• Agentic Process Transformation: drive ROI with Celonis AI agents.
• Proof Projects: end-to-end value projects with secure, scalable systems.
• Domain & Industry Leadership: act as life sciences supply chain expert.

🎯 Requirements

• 8+ years leading tech pre-/post-sales in Life Sciences.
• Deep knowledge of S&OP, P2P, Track & Trace, Cold Chain.
• Generative AI: RAG, few-shot, prompt engineering, multi-agent orchestration.
• Python & ML libraries: LangChain, pandas, pydantic, sklearn, PyTorch.
• Deploying/monitoring models at scale on AWS Bedrock, Azure AI, GCP Vertex.
• Bachelor's degree required; Master’s or equivalent preferred.

🎁 Benefits

• Pioneer Innovation: shape AI-driven operations with Celonis.
• Ownership from Day 1: RSUs and merit-based grants.
• Family support: generous parental leave and wellbeing programs.
• Work-Life Integration: Unlimited PTO and flexible hybrid model.
• Continuous Growth: mentorship and 70-20-10 learning framework.