Note: The job is a remote job and is open to candidates in USA. Siemens Energy is an energy technology company developing systems for reliable and sustainable energy generation. The Principal AI Agent Engineer will architect and deploy enterprise-scale multi-agent systems across the Gas Services value chain, define AI platform architectures, translate agentic AI research into production systems, and lead technical direction and engineering mentorship.
Responsibilities
- 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 LLMs 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
Skills
- • 5+ years of production AI/ML experience
- • 3+ 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, TypeScript, and Go, with hands‑on LLM fine‑tuning (LoRA/QLoRA) and custom orchestration—far beyond prebuilt frameworks
- • Experience with LangGraph and AutoGen, 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
- 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
- • Comfortable operating across time zones, enabling strong day‑to‑day collaboration with European partners (UTC−2 to UTC+2 overlap strongly preferred)
Benefits
- Career growth and development opportunities
- Supportive work culture
- Company paid Health and wellness benefits
- Paid Time Off and paid holidays
- 401K savings plan with company match
- Family building benefits
- Parental leave
- Remote work arrangement
Company Overview