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MISSION:
The GenAI Data Scientist designs, builds, evaluates, and deploys Generative AI solutions, with strong focus on GenAI agents and agentic workflows.
He/she is responsible for:
* Understanding business needs and converting them into GenAI agent use cases
* Building GenAI agents using LangGraph or similar agentic frameworks
* Designing workflows with tool calling, routing, memory, state management, guardrails, and human escalation
* Connecting agents with enterprise data, APIs, databases, applications, and automation tools
* Building and optimizing RAG knowledge stores when knowledge retrieval is required
* Developing clean, modular, scalable, and deployment-ready Python code
* Evaluating agents for accuracy, reliability, hallucination risk, latency, cost, and user experience
* Working with data, platform, and software engineering teams to move GenAI solutions to production
KEY EXPECTED ACHIEVEMENTS:
* Business need is translated into a clear GenAI agent solution
* Agent architecture, workflow, tools, memory, prompts, and guardrails are designed and documented
* Agentic workflows are built, tested, and optimized using LangGraph or similar frameworks
* RAG knowledge stores are implemented and optimized when required
* Python code is modular, testable, maintainable, and production-ready
* The solution is deployed with logging, monitoring, error handling, access control, and cost control
* Results, limitations, risks, and usage guidelines are clearly presented to business and technical stakeholders
* Source code, prompts, configuration, and documentation are delivered
* Peer reviews are organized to ensure quality, scalability, and reliability
Skills Required
- Design and build Generative AI agents and agentic workflows
- Experience with LangGraph or similar agentic frameworks
- Design workflows including tool calling, routing, memory, state management, guardrails, and human escalation
- Connect agents to enterprise data sources, APIs, databases, applications, and automation tools
- Implement and optimize RAG (retrieval-augmented generation) knowledge stores when required
- Develop clean, modular, scalable, deployment-ready Python code
- Evaluate agents for accuracy, reliability, hallucination risk, latency, cost, and user experience
- Deploy solutions with logging, monitoring, error handling, access control, and cost control
- Collaborate with data, platform, and software engineering teams to move solutions to production
- Produce and deliver source code, prompts, configuration, documentation, and usage guidelines
- Organize and participate in peer reviews to ensure quality, scalability, and reliability
Michelin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Michelin and has not been reviewed or approved by Michelin.
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Healthcare Strength — Healthcare access is described as broad, including medical, prescription, dental, mental/behavioral health support, and disability and life insurance coverage. Global baseline protections also emphasize healthcare coverage for employees and families.
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Retirement Support — Retirement support is characterized as strong, with a 401(k) plus additional retirement components referenced alongside profit sharing in the overall package. Financial benefits are framed as a meaningful part of total rewards beyond base salary.
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Parental & Family Support — Parental and family support is positioned as a notable strength through global minimum paid maternity/adoption and paternity/adoption leave, plus survivor benefits tied to salary and education support for children. Additional family-oriented benefits such as adoption assistance are also included in the package.
Michelin Insights
What We Do
Michelin, the leading tire company, is dedicated to sustainably improving the mobility of goods and people by manufacturing and marketing tires and services for every type of vehicle, including airplanes, automobiles, bicycles/motorcycles, earthmovers, farm equipment and trucks. It also offers digital mobility support services and publishes travel guides, hotel and restaurant guides, maps and road atlases. Headquartered in Clermont-Ferrand, France, Michelin is present in more than 170 countries, has 111,200 employees and operates 67 production plants in 17 different countries. Michelin has a Technology Center in charge of research and development, with operations in Europe, North America and Asia. In short, whether you look at our mission, our products or our people, Michelin is a company that truly helps you to move forward....
