At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability. Within our Global AI Hub we combine our long-standing manufacturing and domain expertise with cutting-edge innovation in AI, machine learning, and deep learning to empower smarter decision-making, agility, and decarbonization. Your role : In close collaboration with various stakeholders, you are responsible to understand business requirements, lead, manage, design & develop complex cloud-based & edge AI solutions and manage the deployment and operation into the AI Hub Platform. As a key leader within the AI Solutions Team, you will oversee the AI Engineering sub-domain and provide technical leadership across all three sub-domains: Cloud, AI and Data. This position sits at the heart of our team’s ambition to put AI as a Service (AIaaS) to all Schneider Electric Business Units and clients. Your role is crucial in driving this transformation, promoting a modern AI approach, and reinforcing a robust engineering culture. Your responsibilities : Technical and Strategic Responsibilities You will lead the design and execution of the External/Internal UCs roadmap for the AI Engineering team, ensuring it aligns seamlessly with AI Hub broader roadmap. Your leadership will be instrumental in managing change within the team and strategically guiding the recruitment of future engineering talent. Your participation in the company's AI activities will also be vital in influencing our overarching technical trajectory. You will Lead the design and develop scalable, optimize, secure, and compliant cloud-based & edge AI solutions Manage deployment and operation for AI Solutions Put in place common technical patterns and strategies for UCs Stay up-to-date on the latest AI technologies Collaboration and Influence This role requires a high degree of collaboration and stakeholder engagement. Your ability to leverage your soft skills and emotional intelligence will be key to navigating the complexities of stakeholder interactions and ensuring the success of the UCs. You will Collaborate & work closely with AI Technology/Platform team, Project Managers, Solution Architects, Data Scientists, AI Engineers, and LOBs in order to Set clear technical context and goals Track and improve UCs monitoring Identify/Evaluate and plan for risks Influence on decisions Challenge stakeholders Evaluate similarities between UCs to rationalise & reuse patterns Follow UCs during their lifecycle (Incoming, in progress and delivered) AI Engineering team members tasks and provide leadership Mentor and share knowledge with Junior Engineers & stakeholders Your profile : Master or PhD or equivalent diploma in Analytics / Artificial Intelligence / Data world or related subjects. + 6 years of experience in advanced including 3 years of experience as Technical Leader or equivalent Cloud Architecture / Engineering Mastering Azure Services (AI, ML, Compute, DBs, Containers, Storage, Networking, Security, …) Software Architecture / Engineering Coding, debugging, testing and troubleshooting (Python/Java/Scala/C++) AI/MLOps Engineering ML and AI concepts AI Deployment, DevOps & Security Data Engineering Distributed systems (Spark, Hadoop, ...) Data Ingestion (batch & streaming) ETL/ELT concept DBs (SQL & NoSQL) Data structures (structured, semi structured, and unstructured) like: Time series (meter values over time), texts, sounds, images, videos, … Dev Sec Ops Engineering Infra As Code: Terraform / ARM Templates Versioning: GitHub Ecosystem Data/Cloud and application security concepts Policy development & deployment Secured Development Lifecycle (SDL) Certification in some of this previous domains Capacity to mentor Juniors & Stakeholders on the above technical skills Leadership competencies: Understanding business context and implications Balancing long-term objectives with wide scope of day-to-day activities Contributing to innovative ideas, taking risks, challenging status quo Listening to others and conveying messages in an accurate and effective manner Building an agile network and promoting synergies within the company and with external partners Consistently involving all stakeholders in plans and decisions that affect them Fluent English. 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! €40 billion global revenue +9% organic growth 150 000+ employees in 100+ countries 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.
At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability. Within our Global AI Hub we combine our long-standing manufacturing and domain expertise with cutting-edge innovation in AI, machine learning, and deep learning to empower smarter decision-making, agility, and decarbonization. Your role : In close collaboration with various stakeholders, you are responsible to understand business requirements, lead, manage, design & develop complex cloud-based & edge AI solutions and manage the deployment and operation into the AI Hub Platform. As a key leader within the AI Solutions Team, you will oversee the AI Engineering sub-domain and provide technical leadership across all three sub-domains: Cloud, AI and Data. This position sits at the heart of our team’s ambition to put AI as a Service (AIaaS) to all Schneider Electric Business Units and clients. Your role is crucial in driving this transformation, promoting a modern AI approach, and reinforcing a robust engineering culture. Your responsibilities : Technical and Strategic Responsibilities You will lead the design and execution of the External/Internal UCs roadmap for the AI Engineering team, ensuring it aligns seamlessly with AI Hub broader roadmap. Your leadership will be instrumental in managing change within the team and strategically guiding the recruitment of future engineering talent. Your participation in the company's AI activities will also be vital in influencing our overarching technical trajectory. You will Lead the design and develop scalable, optimize, secure, and compliant cloud-based & edge AI solutions Manage deployment and operation for AI Solutions Put in place common technical patterns and strategies for UCs Stay up-to-date on the latest AI technologies Collaboration and Influence This role requires a high degree of collaboration and stakeholder engagement. Your ability to leverage your soft skills and emotional intelligence will be key to navigating the complexities of stakeholder interactions and ensuring the success of the UCs. You will Collaborate & work closely with AI Technology/Platform team, Project Managers, Solution Architects, Data Scientists, AI Engineers, and LOBs in order to Set clear technical context and goals Track and improve UCs monitoring Identify/Evaluate and plan for risks Influence on decisions Challenge stakeholders Evaluate similarities between UCs to rationalise & reuse patterns Follow UCs during their lifecycle (Incoming, in progress and delivered) AI Engineering team members tasks and provide leadership Mentor and share knowledge with Junior Engineers & stakeholders
Your profile : Master or PhD or equivalent diploma in Analytics / Artificial Intelligence / Data world or related subjects. + 6 years of experience in advanced including 3 years of experience as Technical Leader or equivalent Cloud Architecture / Engineering Mastering Azure Services (AI, ML, Compute, DBs, Containers, Storage, Networking, Security, …) Software Architecture / Engineering Coding, debugging, testing and troubleshooting (Python/Java/Scala/C++) AI/MLOps Engineering ML and AI concepts AI Deployment, DevOps & Security Data Engineering Distributed systems (Spark, Hadoop, ...) Data Ingestion (batch & streaming) ETL/ELT concept DBs (SQL & NoSQL) Data structures (structured, semi structured, and unstructured) like: Time series (meter values over time), texts, sounds, images, videos, … Dev Sec Ops Engineering Infra As Code: Terraform / ARM Templates Versioning: GitHub Ecosystem Data/Cloud and application security concepts Policy development & deployment Secured Development Lifecycle (SDL) Certification in some of this previous domains Capacity to mentor Juniors & Stakeholders on the above technical skills Leadership competencies: Understanding business context and implications Balancing long-term objectives with wide scope of day-to-day activities Contributing to innovative ideas, taking risks, challenging status quo Listening to others and conveying messages in an accurate and effective manner Building an agile network and promoting synergies within the company and with external partners Consistently involving all stakeholders in plans and decisions that affect them Fluent English.