Senior AI Engineer I

Job description

RWE Americas, LLC

To start as soon as possible, full time, permanent

Functional area: IT / Digital

Remuneration: Exempt

The Senior AI Engineer I is a hands-on engineer accountable for end-to-end AI capabilities within a product or across multiple products, from design and build through operation in production. Scope includes retrieval and context assembly, model and agentic logic, integration with source systems and consuming applications, monitoring and evaluation, and operational runbook maintenance. Depth is expected in two or three of these capability areas, with working familiarity across the rest.

The role also covers the engineering that makes these capabilities trustworthy in business use. This includes evaluation and regression testing, human-in-the-loop and other AI-specific security controls, and accountability for inference cost and latency.

The role builds on the shared platform services and reference implementations set by the Principal AI Engineer, within the target-state architecture set by the Data/AI Platform Architect. It also takes handover of capabilities built by technical delivery partners and maintains them in production.

Role Responsibilities

Design, build, operate, and own end-to-end AI capabilities within a product or across multiple products, spanning retrieval and context assembly; model and agentic logic; integration with source systems and consuming applications (APIs, MCPs, authentication); monitoring and evaluation; and operational runbook maintenance

Train and evaluate machine learning models for well-scoped problems such as classification, regression, anomaly detection, clustering, and forecasting, using operational and commercial data. Determine when and how to use ML models versus simpler statistical baselines

Build retrieval and context pipelines against enterprise content using chunking, tagging, and a metadata strategy. Measure and report retrieval quality against a defined standard

Design and maintain evaluation for these capabilities, including offline evals, automated scoring such as LLM-as-judge, and regression tests that run on every prompt or pipeline change to ensure quality before release. Monitor quality and drift signals in production

Own inference cost and latency in production, tracking cost per transaction and end-to-end response time, and profiling where that time is spent. Make tradeoffs where needed to stay within agreed targets

Implement human-in-the-loop and AI-specific security controls, including shadow and assisted modes, confidence and citation surfaces, override capture, audit trails, identity-scoped retrieval, input and output guardrails, tool permissions, and prompt injection resistance

Take handover of application components built by technical delivery partners: read the code, close operational gaps, update the runbook, and maintain them in production

Improve team efficiency by establishing reusable components and reference examples, reviewing code, and onboarding new engineers

Job Requirements and Experiences

Bachelor's degree in computer science, data science, another STEM field, or a related discipline required

Minimum 5 years of relevant experience in software or AI/ML engineering roles, including demonstrated ownership of AI or ML capabilities end to end, from design through operation in a production environment

Depth in two or three of the capability areas listed under Basic Function, with working familiarity across the rest

Production experience with Python and SQL, a major cloud platform, version control and code review, containerized deployment, and CI/CD for AI products and services

Hands-on experience with current orchestration, agent, and retrieval frameworks

Practical experience developing ML models for supervised and unsupervised problems

Experience building and maintaining evaluation and regression testing for AI and ML systems

Working knowledge of AI-specific security and responsible AI controls

Competent use of coding agents and other AI-assisted tooling, including scoping the right tasks for them, reviewing generated code, and recognizing which tasks are a poor fit for delegation

Experience with IT/OT environments, industrial data sources, or operational technology systems is preferred

Experience in the power, utilities, or clean energy sector, including knowledge of U.S. power markets, renewable project development, and clean energy technologies, is preferred

Work Envuironment

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 Americas is 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 $127,000 - $171,000. 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.

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 at americas.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 can grow your career and make a meaningful difference.

#J-18808-Ljbffr

Worksite address

austin, TX, 78716, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.