About this opportunity
RWE AG lists this Principal AI Engineer opportunity in austin, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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Austin, TX, US, 78701 Chicago, IL, US, 60654
RWE Americas, LLC
To start as soon as possible, full time, permanent
Functional area: IT / Digital
Remuneration: Exempt
The Principal AI Engineer is a platform level technical expert responsible for building and operating the shared AI capabilities that squads and business units build on, and for setting the engineering patterns and reference implementations that other engineers follow. This role owns the technical design, build, and operational decisions for those shared capabilities, working within the platform roadmap set by the head of AI Platform and Products, and the target-state architecture set by the Data/AI Platform Architect.
This role integrates and operates shared platform services including orchestration and agent frameworks, retrieval and knowledge services, evaluation tooling, model and prompt lifecycle management, observability, and guardrails.
The Principal AI Engineer operationalizes responsible AI at the platform level, delivers AI platform cost efficiency, and raises the output of the wider AI organization.
Role 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
Job Requirements and Experiences
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
Applicants must be legally authorized to work in the United States. RWE Americasis unable to sponsor or take over sponsorship of employment visas at this time.
Pay range
The annual base salary range for this position in Illinois is $178,000 - $240,000. The listed salary range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only. RWE considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s education & work experience, training & certifications, and key skills as well as market and business considerations at the time of the offer.
Benefits offered
Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. Eligible employees also participate in short-term incentives, in addition to salary.
We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.
All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
RWE Americas, a subsidiary of RWE, is a US-based energy company that is helping to meet the growing demand for energy across the United States. Backed by RWE's 125-year global legacy of managing diverse power assets, RWE Americas operates approximately 13 GW of power projects across 27 states. With a talented workforce of 2,000 employees, RWE Americas develops, constructs and operates wind, solar and battery storage projects, along with natural gas-powered generation, that safely deliver affordable, reliable electricity to our customers. Committed to responsible development, RWE Americas invests in local and rural communities, creating jobs and partnering with stakeholders to support and strengthen the places where we live and work. Learn more about how RWE Americas is generating impact atamericas.rwe.com .
At RWE Americas, we foster a culture defined by our Essential Behaviors - Have Courage, Create Impact and Actively Collaborate. We encourage bold thinking and continuous learning, and we value ownership, resilience and inclusion in everything we do. When you join us, you become part of a team that supports your development, respects your contributions and celebrates shared success. This is a place where you grow your career and make a meaningful difference.
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Worksite address
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.