SW Architect - AI Engineering

• 6 to 10 years of overall experience in Software Engineering, Machine Learning Engineering, or AI Solution Development.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related disciplines.

• 1 to 2+ years of hands-on experience delivering Generative AI and Large Language Model (LLM)-based solutions in enterprise environments.

• Strong programming expertise in Python, Java, or Go, with solid software design and architecture skills.

• Hands-on experience with leading GenAI ecosystems including OpenAI, Hugging Face, Anthropic, Google AI, Azure OpenAI, or similar platforms.

• Proven experience in prompt engineering, prompt optimization, and model evaluation techniques.

• Strong understanding and implementation experience of RAG architectures and vector database technologies.

• Experience working with frameworks such as LangChain, LlamaIndex, ADK, or equivalent AI orchestration platforms.

• Knowledge of deep learning frameworks including PyTorch and TensorFlow.

• Experience developing APIs, microservices, and distributed applications.

• Familiarity with cloud-native development on AWS, Azure, or Google Cloud Platform.

• Strong understanding of MLOps and LLMOps practices for deploying and managing production AI systems.

• Excellent communication, collaboration, and stakeholder management skills.

• Ability to work effectively with globally distributed teams and cross-functional organizations.

• Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, ADK, or similar technologies.

• Exposure to multimodal AI solutions involving text, image, audio, or video processing.

• Experience fine-tuning, customizing, or adapting foundation models for domain-specific use cases.

• Familiarity with knowledge graphs, semantic search technologies, and graph-based retrieval mechanisms.

• Experience building enterprise AI copilots, intelligent assistants, or automation platforms.

• Knowledge of AI governance, responsible AI practices, model risk management, and regulatory compliance.

• Experience with CI/CD pipelines, DevOps practices, and scalable cloud-native architectures.

• Relevant certifications in AI, Machine Learning, Cloud Technologies, or Solution Architecture.

• Collaborate with global product development, AI research, data engineering, and platform teams with deep technical and domain expertise.

• Work on cutting-edge Generative AI and intelligent automation solutions that shape the future of digital transformation.

• Be part of an innovative and empowering culture where your architectural decisions directly influence product strategy and business outcomes.

• Benefit from hybrid work opportunities and a diverse, inclusive working environment.

• Access to continuous learning opportunities, training programs, and emerging AI technologies.

• Contribute to building responsible, secure, and scalable AI solutions that create meaningful impact for customers worldwide.

This role is an individual contributor position based out in Pune. You may be required to collaborate with teams across locations within India and globally. In return, you'll have the opportunity to work with talented professionals shaping the future of AI and digital innovation.

At Siemens, we are a collection of over 312,000 minds building the future, one day at a time, worldwide. We are dedicated to equality and welcome applications that reflect the diversity of the communities we serve. All employment decisions at Siemens are based on qualifications, merit, and business need.

Find out more about Siemens careers at: www.siemens.com/careers