Principal AI Platform Engineer: Lead Enterprise AI

RWE Americas; Austin (TX); On-site; USD 178,000 - 240,000; Full time

Job summary

RWE Americas, LLC is seeking a Principal AI Engineer to lead the design, build, and operation of shared AI platform capabilities used by multiple squads and business units. You will set engineering patterns and reference implementations that other engineers follow.

The role emphasizes responsible AI at the platform level, cost efficiency, and mentoring senior engineers, with travel to other offices and field locations as needed.

Qualifications

• Master’s or PhD degree in computer science, data science, STEM, or related field required
• Minimum 11 years of relevant professional experience in software or AI/ML engineering roles, including demonstrated experience building and operating shared platform capabilities used by multiple engineering teams and setting technical patterns that other engineers follow
• Deep expertise in enterprise-scale AI development, with the ability to set engineering standards that other engineers follow within an established platform architecture
• Production experience with a major cloud platform, Python, containerized deployment and CI/CD for AI services, and current LLM orchestration and agent frameworks
• Extensive experience integrating and operating the shared AI platform services described above in a production enterprise environment, with personal accountability for their reliability and supportability
• Depth in responsible AI engineering, with hands-on ownership of the evaluation, guardrail, and audit infrastructure described above
• Demonstrated ability to drive AI platform cost efficiency using the structural levers described above
• Proven ability to mentor and professionally develop junior AI engineers
• Experience with IT/OT environments, industrial data sources, or operational technology systems preferred
• Experience in the power, utilities, or clean energy sector, including knowledge of U.S. power markets, renewable project development, and clean energy technologies preferred
• This position is an office-based role with some travel and visits to other RWE Americas offices and field locations. The employee must be able to sit, walk, or stand for long durations of time

Responsibilities

• Integrate and operate the shared AI platform capabilities squads and business units build on, including orchestration and agent frameworks, retrieval and knowledge services, evaluation tooling, model and prompt lifecycle management, observability, and guardrails. Ensure they are production-ready, supportable, and adopted across squads consistent with the enterprise target-state architecture and platform roadmap
• Solve the enterprise’s hardest AI engineering problems, including retrieval quality against a fragmented document and operational data estate, building useful models where labeled outcomes are scarce, enabling agents to operate safely in compliance-bound workflows, and resolving assets, sites, and other entities across systems with no common identifiers
• Define reference implementations for AI development across squads and drive their adoption, making the engineering standard visible, consistent, and teachable
• Operationalize responsible AI at the platform level through evaluation and guardrail infrastructure, explainability and citation, bias and drift detection, override and audit logging, prompt and model versioning, and the evidence trail required for compliance and audit
• Deliver AI platform cost efficiency through instrumentation and per-product economics, leading structural changes across routing, caching, context management, and model tiering that keep spend proportional to the value delivered, within the enterprise AI FinOps framework
• Multiply the output of the engineering organization by leading design reviews, coaching senior engineers, and evolving platform standards

Skills

Python

LLM orchestration

Agent frameworks

CI/CD for AI

Observability

Guardrails

Production deployment

Cost efficiency

Mentoring

Cloud platforms

Education

Master’s or PhD degree in CS/DS/STEM

Tools

Cloud platforms (AWS/Azure/GCP)

Kubernetes

Orchestration frameworks

Job description

RWE Americas, LLC is seeking a Principal AI Engineer to lead the design, build, and operation of shared AI platform capabilities used by multiple squads and business units. You will set engineering patterns and reference implementations that other engineers follow.

The role emphasizes responsible AI at the platform level, cost efficiency, and mentoring senior engineers, with travel to other offices and field locations as needed.