Principal AI Agent Architect

Siemens Energy, Inc.; Houston (TX); On-site; USD 230,000 - 320,000; Full time

Benefits offered by this job

Career growth and development

Supportive work culture

Company paid Health and wellness benef

Paid Time Off and paid holidays

401K savings plan with company match

Family building benefits

Parental leave

Job summary

Siemens Energy, Inc. is seeking a Principal AI Agent Engineer for its AI Factory to architect enterprise-scale multi-agent systems across the Gas Services value chain. You will lead a small, elite team, define technical direction, and ship at global enterprise scale.

You will mentor engineers, translate research into production-grade systems, and communicate strategy to executive leadership while coordinating across time zones with European partners.

Qualifications

• Bachelor's 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.
• Hands-on with Python, TypeScript and Go, including LLM fine-tuning (LoRA/QLoRA).
• Built production agents and tooling from the ground up.

Responsibilities

• Architect enterprise-scale multi-agent systems coordinating workflows across multiple functions.
• Define the AI Agent Factory vision and reference architectures for deployment and governance.
• Design robust coordination protocols for production multi-agent operation with real-time energy impact.
• Translate cutting-edge agentic AI research into production-grade systems with code-first implementations.
• Mentor Staff and Senior engineers, upholding engineering rigor and a code-first culture.
• Communicate strategy to senior leadership, aligning AI capabilities with business value.

Skills

Production AI/ML

Multi-agent systems

LLM fine-tuning

Python

TypeScript

Go

LangGraph

AutoGen

Stakeholder communication

Education

Bachelor's degree in a technical field

Tools

LangGraph

AutoGen

Job description

Siemens Energy, Inc. is seeking a Principal AI Agent Engineer for its AI Factory to architect enterprise-scale multi-agent systems across the Gas Services value chain. You will lead a small, elite team, define technical direction, and ship at global enterprise scale.

You will mentor engineers, translate research into production-grade systems, and communicate strategy to executive leadership while coordinating across time zones with European partners.