Our team is seeking a visionary AI leader who has already proven themselves at the world’s most demanding technology companies and is ready for a harder, more meaningful challenge. As Principal AI Agent Engineer within Siemens Energy’s AI Factory, you will architect enterprise-scale multi-agent systems that coordinate across the full Gas Services value chain—operating in environments where mistakes have real physical consequences and success reshapes how an entire industry works. You’ll lead a small, elite team with the autonomy to define technical direction and the mandate to ship at global enterprise scale. Roughly one-sixth of the world’s electricity is generated using Siemens Energy technologies. This role offers a rare opportunity to transform a 150-year-old industrial leader from the inside, defining how AI agents will power the future workplace and the future of energy itself. How You’ll Make an Impact. Architect enterprise-scale multi-agent systems where specialized agents coordinate complex workflows across multiple business functions. Define the technical vision and reference architectures for the AI Agent Factory, the platform used to build, deploy, and govern agents across the enterprise. Design robust coordination protocols and orchestration patterns that enable reliable multi-agent operation in production environments where downtime has real-world energy impact. Translate cutting-edge agentic AI research into production-grade systems, delivering custom, code-first implementations and fine-tuned LL - Ms for industrial domains, no low-code abstractions. Mentor and elevate Staff and Senior engineers, setting the standard for engineering excellence, technical rigor, and a strong code-first culture across the AI Factory. Communicate technical strategy to senior leadership, bridging what’s possible in agentic AI with what drives measurable value for the energy business. What You Bring 6–9 years of production AI/ ML experience. Candidates with more experience can be considered at a higher level . years designing and shipping multi-agent or complex LLM-based systems at scale. Proven track record at a top-tier technology technical consulting or big tech company (EX; Deloitte, Accenture, Google, Meta, Oracle, Amazon, Apple, Microsoft, or equivalent), with experience operating at an elite technical bar and the drive to take on a new, high-impact challenge. You’ve built production agents and tooling from the ground up, working across Python, Type. Script, and Go, with hands-on LLM fine-tuning (Lo. RA/ Q - Lo. RA) and custom orchestration—far beyond prebuilt frameworks. Experience with Lang. Graph and Auto. Gen, and the ability to build custom agent coordination layers when needed. Strong communicator with the ability to clearly explain emergent agent behaviors, coordination trade-offs, and system design decisions to non-technical stakeholders and executive leadership. Comfortable operating across time zones, enabling strong day-to-day collaboration with European partners (UTC-2 to UTC 2 overlap strongly preferred). Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. About the Team. Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.