ML Ops Engineer

We are your Energy Technology Partner : we electrify, automate and digitalize every industry, business and home, driving efficiency and sustainability for all.

At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future.

And artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability.

As part of the AI Technology group (70 people), we are seeking for an LLMOps engineer who can contribute to the development and deployment of our AI platform, which is used by our internal stakeholders to design and deploy AI use cases for our external offers and internal functions.

We look for someone with a significant experience working on Generative AI operational challenges, who is passionate about solving complex business & technical problems by applying best in class engineering, quality, and security practices in the context of AI software developments & integration.

Our AI platform is built on top of Azure & AWS cloud providers, leverages Databricks solution and also the different products from the LangChain company (LangGraph, LangSmith, LangChain) to provide LLM, LLMOps and Agentic capabilities.

If you're excited by the opportunity to positively impact business processes through innovation and application of advanced technologies, you will feel at home.

Responsibilities :


* Contribute to the development of the GenAI technical stack of our AI Platform:


* Participate to the definition, architecture, development, integration, test, documentation & maintenance phases of the new GenAI features.


* Ensure the development process of this stack follows the DevSecOps recommendations & best practices.


* Write LLM / LLMOps / Agentic/ RAG / ARAG applications examples to illustrate the AI Platform capabilities and the associated best practices.


* Contribute to the developments of CI/CD workflows to automate the integration and deployment of the various GenAI artefacts into the different environments.


* Contribute to the definition of the LLMOps operating model and make sure the AI Platform enforces this model.


* Foster the adoption & support of the AI Platform within the company :


* Collaborate with our internal stakeholders to co-design the new features of the AI Platform


* Occasionally be embarked into one of our internal stakeholders teams to bring support & expertise on the usage of the AI platform and AI topics and, in return, collect platform evolution needs


* Occasionally contribute to the collective effort of run & support for the AI Platform


* Support preparing the future:


* Contribute to the technical watch on GenAI topics


* Occasionally assess & benchmark new products or new GenAI related technologies

What qualifications will make you successful for this role?

Technical skills:


* Previous experiences as LLMOps engineer or AI engineer are required.


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