Hello Visionary!

We empower our people to stay resilient and relevant in a constantly evolving world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make an outstanding addition to our vibrant team. Siemens Mobility is an independent handled company of Siemens AG. Its core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, intelligent road traffic technology and related services. The Information Technology (IT) department has the global responsibility for the internal IT of Siemens Mobility. Its goal is to provide a robust and efficient IT landscape derived from business and market demands. Your personality and individuality make the difference. In our team, we increase business performance and point the way into the digital age. Is that exactly your thing? Then live your passion in a cross-location team in which you can actively craft the future of our company. You open up new possibilities for our customers with your competence. Connected with this is an exciting career path that leads you to ever new projects and solutions in the field of IT for Siemens Mobility.

We are looking for a Generative AI Solutions Engineer

We are seeking a highly motivated and skilled Generative AI Solutions Engineer to join our innovative team. In this pivotal role, you will bridge the gap between strategic business needs and advanced AI capabilities, focusing on the full lifecycle of AI development and operations. With a strong emphasis on generative AI solutions and agent implementation, you will be instrumental in translating strategic business objectives into robust, scalable, and production-ready AI architectures, ensuring flawless integration and continuous improvement.

This is a phenomenal opportunity for someone passionate about demonstrating modern AI to tackle real-world business challenges and drive impactful innovation!

You’ll make a difference by:

• Business Analysis & Strategy:

• 1. Collaborate closely with stakeholders to gather, analyze, and meticulously document requirements for modern AI-driven projects.
  2. Translate complex business needs into clear, actionable functional and technical specifications for AI solutions.
  3. Conduct thorough feasibility studies and comprehensive Return on Investment (ROI) analyses for new AI initiatives, guiding strategic decision-making.
  4. Support change management efforts and drive the successful adoption of AI solutions across various business units.

• Collaboration & Communication:

• 1. Act as a vital liaison, fostering effective communication and teamwork between diverse business units and technical development teams.
  2. Present insights, prototypes, and project results to collaborators in a clear, concise, and actionable manner, facilitating informed decisions.
  3. Continuously monitor and stay on top of emerging AI technologies, industry standard processes, and innovative approaches, especially within the Generative AI landscape.

• AI Solution Design & Implementation:

• 1. Design, deploy, and maintain scalable, enterprise-grade AI architectures and multi-step agent pipelines, demonstrating a strong understanding of end-to-end solution design patterns and standard processes for GenAI applications.
  2. Build, deploy, and maintain FastAPI endpoints specifically for GenAI agents.
  3. Monitor and continuously improve model performance, latency, and accuracy in production environments, ensuring enterprise-grade standards for reliability, traceability, and maintainability.

You’ll win us over by:

Required Experience:

• 2–3 years of hands-on experience in the full lifecycle of AI development and operations, with a strong focus on generative AI solutions and agent implementation, including successful integration into production environments.

Technical Expertise (Hard Skills):

• Generative AI & Machine Learning: In-depth knowledge and hands-on experience with core GenAI components (e.g., Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, embeddings, agent systems) as well as foundational classical machine learning concepts.
• Cloud ML Platforms: Validated experience with leading cloud-based ML services such as Azure ML Studio, Azure OpenAI Service, AWS SageMaker, or AWS Bedrock.
• Containerization & Orchestration: Expertise with containerization technologies (e.g., Docker, Kubernetes, Azure Container Apps, AWS Fargate).
• DevOps & MLOps: Strong understanding and experience with GitHub workflows, CI/CD pipeline management, and robust deployment automation strategies.
• Programming & Frameworks: Proficiency in Python and familiarity with modern ML frameworks and agent frameworks (such as LangGraph and ADK).

Professional Skills (Soft Skills):

• Agile Methodologies: Practical experience with agile development methodologies (e.g., Scrum).
• Problem-Solving: Strong troubleshooting and analytical problem-solving skills, with an ability to solve complex technical challenges effectively.
• Software Engineering Principles: Excellent software engineering skills, including a commitment to good coding practices, clean architecture, and maintainable code.

Join us and be yourself!

We value your outstanding identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and build a better tomorrow with us.

Make your mark in our exciting world at Siemens.

This role is based in Pune and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and encouragement and help us shape tomorrow.

Find out more about Siemens careers at: www.siemens.com/careers & more about mobility at https://new.siemens.com/global/en/products/mobility.html