Lead Value Engineer - Life Sciences

Celonis

Location not specified

Full Time

Posted July 10, 2026

$157k - $200k

Climate Technology

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Job Description

As a Lead Value Engineer specializing in the Life Sciences, you are pushing the envelope in solving business-critical problems for the world's largest, most diversified life science organizations.

Key Responsibilities

AI Discovery & Solutioning: Understand the client's overarching AI strategy and the distinct challenges that are distinct to their business. As a Celonis product expert, translate these complex, multi-tiered requirements into innovative AI solutions that drive measurable impact..
Predictive Modeling and Optimization: Leverage data stored within the Celonis context model to design and deploy advanced time-series forecasting, optimization, and predictive algorithms to solve complex logistics constraints (e.g., dynamic inventory routing, schedule optimization).
Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds in the supply chain are successfully reached.
Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex, fragmented supply chain networks. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points in planning, sourcing, manufacturing, and distribution.
Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., autonomous inventory rebalancing or intelligent shipment exception handling).
Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise systems of record.

Requirements

8+ years of experience leading technical pre-sales and post-sales engagements preferred within Healthcare, Life Sciences, Pharmaceutical, or MedTech. This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.
Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., intelligent chatbots for supplier collaboration, automated extraction of data from complex customs or quality documents).
Solid knowledge of Python and Advanced Predictive Analytic techniques (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies for leveraging massive, siloed datasets to build algorithms and tools aimed at predicting future business outcomes.
Strong presentation skills to both internal and external stakeholders (including supply chain executives and IT leaders), whether leading technical whiteboarding sessions or formal readouts and demos.
Bachelor’s Degree required; Master's Degree in computer science, supply chain management, engineering, mathematics, or related fields, or equivalent work experience preferred.
Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations suited for highly regulated (GxP) life sciences environments.
Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).
Visa sponsorship is not offered for this role. Learn More about Value Engineering at Celonis Here
The base salary range below is for the role in the specified location, based on a Full Time Schedule. Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.
The base salary range below is for the role in New York, based on a Full Time Schedule.
$157,000
—
$200,000 USD