Engineer Gen AI

Job descriptions may display in multiple languages based on your language selection. What we offer: At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary: Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain. Job Responsibilities: Job title: Engineer Gen AI Job Introduction: Magna’s powertrain group is an operating unit of Magna International and a long-term premier supplier for the global automotive industry with full capabilities in game-changing powertrain design, development, testing and manufacturing. As one of the world’s largest suppliers of powertrain solutions for passenger cars and light commercial vehicles, we have a unique market position. As a GenAI Engineer in Magna Powertrain, you will be at the forefront of integrating generative AI technologies into our product development workflows. You are working in a global Gen-AI project team with members in India, EU and North America. You’ll collaborate with cross-functional teams to develop intelligent tools, automate engineering tasks, and accelerate innovation in powertrain design and validation. Major Responsibilities: You will collaborate with stakeholders to clarify the objectives of each AI use case and create detailed user stories You will develop a functional architecture, select appropriate prompting techniques or agent frameworks, implement the solution, and establish a testing pipeline using ground truth data for evaluation. You will document the process and regularly present project progress to ensure transparency and alignment with stakeholders. Skills and competencies: Preferred Qualifications Proficiency in Databricks, cloud computing, and the Azure environment Proficiency with libraries such as LangChain and OpenAI Experience with Model Context Protocol (MCP) and Multi-Agent Framkeworks Experience with open-source LLMs (e.g., Llama) and training smaller models Product or project management experience Bonus Qualifications Knowledge of Azure Power Apps and Web Apps Experience in requirements management and test case development according to Automotive SPICE Educational Qualifications: