Remote Position
[Remote] Principal AI Engineer
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. Siemens Energy is seeking a Principal AI Engineer for its AI Factory. The role leads the architecture and delivery of enterprise-scale multi-agent systems for the Gas Services value chain, defines platform direction, and mentors engineers while translating AI research into production systems.
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
- Bachelors Degree in an applicable technical field
- 5+ years of production AI/ML experience
- 3+ years designing and shipping multi-agent or complex LLM-based systems at scale
- 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
- 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
- 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
Company Overview