About the role
A Snapshot of Your Day We are seeking a visionary PLM AI System Architect to lead the digital transformation of our Product Lifecycle Management (PLM) ecosystem. This role sits at the intersection of deep engineering domain expertise and cutting-edge Generative AI. You will be responsible for designing, implementing, and scaling agentic AI capabilities that transform how we manage requirements, BOMs, CAD/CAM data, and service lifecycles. The ideal candidate will act as the bridge between our PLM platforms, engineering stakeholders, and enterprise AI architecture.
How You’ll Make An Impact
- Strategic PLM Leadership: Drive AI adoption across the entire product lifecycle—from requirements and EBOM/MBOM management to digital twin enablement.
- Agentic AI Engineering: Design and orchestrate multi-agent systems capable of reasoning over complex PLM data, automating classification, and performing automated change impact analysis.
- Advanced Data Retrieval (RAG): Architect RAG pipelines that ensure engineering-grade accuracy, specifically tuned for structured PLM data and unstructured technical documentation.
- Architect and configure AI-powered retrieval systems that handle both structured PLM data (attributes, relations) and unstructured content (specifications, PDFs, drawings).
- AI Integration Architecture: Lead the development of MCP (Model Context Protocol) servers and secure integration layers to expose PLM services to enterprise AI agents.
- Governance & Scaling: Define the AI maturity roadmap, ensuring all deployments meet strict enterprise standards for data privacy, IP protection, and cost governance.
What You Bring
- Required total 7+ years of experience along with relevant experience 3 years in Artificial Intelligence.
- PLM Domain Expertise: Basic understanding of PLM (Product Lifecycle Management).
- AI & Intelligent Systems: Proven expertise in Agentic AI frameworks, RAG architectures, and tool-calling patterns. Strong grasp of grounding strategies to mitigate hallucination risks in technical environments.
- Platform & Integration: Experience building AI integration layers (e.g., MCP servers), managing APIs/microservices, and deploying AI services in cloud-native environments.
- Communication: Ability to distill complex technical architecture into actionable business value narratives for senior leadership.
- Business Impact: Quantifiable reduction in cycle time and manual effort through AI automation.
- System Integrity: High accuracy and "trust scores" for AI-generated engineering outputs.
- Scalability: Successful deployment of reusable AI architectural patterns across the broader enterprise.
Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 92,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.
Our global team is committed to making balanced, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
"Let’s make tomorrow different today" is our genuine dedication at Siemens Energy to all customers and employees on the way to a balanced future.
Our Commitment to Diversity Check out this video to learn more about Siemens Energy: https://www.siemens-energy.com/employeevideo Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
https://jobs.siemens-energy.com/jobs
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