AI Engineer II

Job Description – AI Engineer (6–10 Years Experience) Schneider’s purpose is to empower all to make the most of our energy and resources, bridging progress and sustainability for all. We call this Life Is On. Our mission is to be your digital partner for Sustainability and Efficiency. We drive digital transformation by integrating world-leading process and energy technologies, endpoint to cloud connecting products, controls, software, and services, across the entire lifecycle, enabling integrated company management, for homes, buildings, datacenters, infrastructure, and industries. We are the most local of global companies. We are advocates of open standards and partnership ecosystems that are passionate about our shared Meaningful Purpose, Inclusive and Empowered values. https://www.youtube.com/watch?v=YtExntUe89c www.se.com Position AI Engineer – Generative AI, Copilot & Agentic Solutions Experience 6–10 years Location Bengaluru Role Overview We are seeking an experienced AI Engineer with a strong software engineering background and hands-on expertise in Generative AI, Microsoft Copilot, MCP (Model Context Protocol), AI Skills development, and AI-powered application development. The ideal candidate will have deep understanding of the Software Development Lifecycle (SDLC) and experience building, integrating, and deploying enterprise-grade AI solutions using modern development tools including VS Code, GitHub, Azure, and Microsoft AI ecosystems. This role requires a combination of AI engineering, software architecture, and product delivery experience to design and implement intelligent copilots, agents, custom skills, and AI-driven workflows. Key Responsibilities AI Solution Development Design, develop, and deploy enterprise AI applications using LLMs and GenAI technologies. Build and maintain custom AI Skills, Agents, Plugins, and Tools for business-specific use cases. Develop AI-powered copilots and conversational experiences using Microsoft Copilot technologies. Implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources. Design prompt engineering, orchestration, and grounding strategies for AI systems. MCP & Agentic AI Build and integrate MCP (Model Context Protocol) servers and tools. Develop agent-based workflows enabling AI systems to interact with enterprise applications and services. Create reusable AI capabilities and toolsets for internal development teams. Implement secure and scalable AI integrations across enterprise environments. Software Engineering Apply software engineering best practices across the SDLC. Design scalable APIs, microservices, and backend components supporting AI workloads. Collaborate with product managers, architects, and engineering teams to define technical solutions. Conduct code reviews and mentor junior engineers. DevOps & Deployment Implement CI/CD pipelines for AI applications. Monitor AI performance, reliability, security, and governance. Optimize application performance, cost, and scalability. Support production deployments and troubleshooting. Required Qualifications Experience 6–10 years of software development experience. 3+ years of hands-on experience in AI/ML or Generative AI development. Experience delivering production-grade AI applications. Technical Skills Strong programming skills in Python, C#, JavaScript, or TypeScript. Experience with Large Language Models (LLMs) and GenAI frameworks. Hands-on experience building Custom AI Skills, Agents, Plugins, or Extensions. Knowledge of Model Context Protocol (MCP) architecture and implementation. Experience with Microsoft Copilot, Copilot Studio, or Copilot extensibility. Strong understanding of RAG architectures, vector databases, embeddings, and semantic search. Experience with REST APIs, microservices, and cloud-native architectures. Proficiency in Visual Studio Code (VS Code) and modern development workflows. Experience with Git, GitHub, and CI/CD pipelines. SDLC & Architecture Strong understanding of SDLC methodologies including Agile/Scrum. Experience with software design patterns, architecture reviews, testing, and deployment processes. Knowledge of secure coding practices and enterprise governance requirements. Preferred Qualifications Experience with Microsoft Azure AI services. Knowledge of Azure OpenAI Service, AI Foundry, Cognitive Search, and Azure Functions. Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or similar frameworks. Familiarity with Microsoft Graph, Power Platform, and enterprise integrations. AI certification(s) from Microsoft or equivalent platforms. Experience in developing multi-agent systems and workflow automation solutions. Desired Competencies Strong problem-solving and analytical skills. Excellent communication and stakeholder management abilities. Ability to translate business requirements into AI-driven solutions. Passion for emerging AI technologies and continuous learning. Leadership and mentoring capabilities. Success Indicators Delivery of scalable AI copilots and agentic solutions. Creation of reusable custom AI skills and MCP integrations. Successful deployment of enterprise-grade AI applications. Improvement in developer productivity and business process automation through AI adoption. Rewards designed for you Our Total Rewards is our way of saying: We see you and we value you. It’s more than just pay and benefits—it’s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we’re here for what matters most to you. Discover more at our Career Page. * Country-specific programs and initiatives may be available. 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.