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 Lang Chain company (Lang Graph, Lang Smith, Lang Chain) 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 Dev Sec Ops 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. Previous experiences of deploying and operating GenAI based applications (Agentic, RAG, ARAG, …) up to production are required. Strong knowledge in the domain of LLM, LLMOps, GenAI and Agentic AI. Master DevOps tools & processes : CI/CD, GitHub, GitHub actions. Master Python programming language. Master Azure AI Services (Azure ML Services, Azure AI Foundry, Azure OpenAI) or AWS AI Services (AWS Sage Maker, Bedrock). Good general knowledge of at least one of the following cloud service providers stacks : Azure or AWS. Knowledge of Lang Chain products (Lang Chain, Lang Smith, Lang Graph) is a plus. Knowledge of databricks is a plus. Familiar with agile methodologies: Scrum, SAFe Soft skills: Rigorous mindset, but still open to changes. Autonomous and good team player. Curious. Like to coach, teach and bring support to others. At ease in an international work environment. Fluent English. Effective communication skills (clear, concise) Let us learn about you! Apply today. You must submit an online application to be considered for any position with us. This position will be posted until filled. Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. Become an IMPACT Maker with Schneider Electric – apply today! €36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World’s most sustainable corporations You must submit an online application to be considered for any position with us. This position will be posted until filled. Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
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 Lang Chain company (Lang Graph, Lang Smith, Lang Chain) 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 Dev Sec Ops 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. Previous experiences of deploying and operating GenAI based applications (Agentic, RAG, ARAG, …) up to production are required. Strong knowledge in the domain of LLM, LLMOps, GenAI and Agentic AI. Master DevOps tools & processes : CI/CD, GitHub, GitHub actions. Master Python programming language. Master Azure AI Services (Azure ML Services, Azure AI Foundry, Azure OpenAI) or AWS AI Services (AWS Sage Maker, Bedrock). Good general knowledge of at least one of the following cloud service providers stacks : Azure or AWS. Knowledge of Lang Chain products (Lang Chain, Lang Smith, Lang Graph) is a plus. Knowledge of databricks is a plus. Familiar with agile methodologies: Scrum, SAFe Soft skills: Rigorous mindset, but still open to changes. Autonomous and good team player. Curious. Like to coach, teach and bring support to others. At ease in an international work environment. Fluent English. Effective communication skills (clear, concise) Let us learn about you! Apply today. You must submit an online application to be considered for any position with us. This position will be posted until filled.