Agentic AI engineer for BMW innovation Solutions

Required Experience, minimum: 4 years

Required Experience, maximum: 7 years

• Skills: ML frameworks, Pytorch

• Minimum Qualification: BTECH

• *What awaits you!**

• Join our team to industrialize sophisticated cutting\-edge AI for our next generation of Innovations at BMW.
• The role involves designing, developing, and refining Agentic AI based workflows that will form the core of our innovative AI\-driven products and services.
• The ideal candidate will possess deep expertise in generative AI practices, with the ability to build and scale Agentic AI applications end\-to\-end — from architecture and orchestration to cloud deployment and production operation.
• Own the design and delivery of GenAI\-powered applications, translating business problems into robust, agent\-driven solutions with measurable outcomes.
• Deploy, scale, and operate AI applications on cloud platforms (AWS/Azure), leveraging managed AI/ML services, containerization, and cloud\-native architecture patterns.
• Embed AI agents into automotive software pipelines to enable adaptive behaviours, such as real\-time anomaly detection during unit testing or automated regression analysis in system validation.
• Develop and maintain AI\-based tools for model\-based development, system diagnostics, code generation, and continuous integration.
• Drive processes in a structured and organized manner — from requirement gathering through to deployment — ensuring predictability and traceability across the AI application lifecycle.
• Stay abreast of emerging agentic AI trends and cloud\-native AI services, quickly upskilling and proposing integrations that advance our software capabilities.
• In your daily work, you will find yourself in an international and interdisciplinary environment with an agile mindset.
• Our campus offers the cloud infrastructure you need to work productively with large amounts of data and focus on the software for the automobile of the future.

• *What should you bring along!**

• 4\-7 years of experience in AI/ML research and development, with a strong focus on Generative AI application creation
• Proven, hands\-on experience building and deploying Agentic AI frameworks and multi\-agent systems in production environments
• Strong hands\-on experience deploying and operating AI/ML applications on AWS and/or Azure — including compute (EC2/Azure VMs), managed AI services (SageMaker/Azure ML, Bedrock/Azure OpenAI), containerization (Docker/Kubernetes), storage, and networking basics
• Proven experience with generative model architectures and techniques, as well as fine\-tuning methods to improve model performance
• Familiar with implementing RAG (Retrieval\-Augmented Generation) architecture for sophisticated AI applications
• Experience setting up CI/CD pipelines for AI application deployment (Jenkins, GitLab CI, or cloud\-native pipelines such as AWS CodePipeline/Azure DevOps)
• Demonstrated ability to quickly grasp new tools, frameworks, and emerging cloud/AI concepts, and apply them pragmatically
• Strong process orientation — able to structure and drive complex AI initiatives in an organized, transparent, and repeatable way
• Knowledge of MLOps practices to ensure the robustness and reliability of AI systems in production
• Strong Python programming skills and experience with modern AI frameworks (PyTorch, TensorFlow, LangChain/LangGraph, or similar agentic frameworks)
• Excellent communication and collaboration skills, with the ability to lead and mentor junior team members
• Business fluent knowledge of English (written and spoken)