Clearway Energy
AI Solutions Architect
$137K–$155K
Scottsdale, Arizona, United States · Full-time · Posted Oct 26, 2026
- Experience
- 5+ years in ML or data engineering, including recent production LLM or RAG work.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent practical experience.
- Visa sponsorship
- No visa sponsorship or any kind of sponsorship for employment authorization is available for this role, now or in the future.
About the job
Designs, prototypes, and deploys AI solutions that improve renewable energy operations and internal business processes, taking proofs of concept into production.
What you'll do
- Architect and build AI/ML applications, including RAG, agentic workflows, forecasting, and predictive maintenance solutions.
- Scale successful prototypes into secure production systems with MLOps, monitoring, and governance practices.
- Gather stakeholder requirements, present solutions and ROI, and train users on AI tools and dashboards.
What they ask for
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
- 5+ years of ML or data engineering experience, including recent production LLM or RAG work.
- Demonstrated experience taking AI projects from proof of concept to production, with enterprise AI workflows such as Snowflake Cortex AI or similar.
- Hands-on experience with agentic frameworks and MCP; production LLM API integration; RAG design; interactive applications; advanced Git workflows; and Python, SQL, and modern ML frameworks.
Nice to have
- Experience in renewable energy, utilities, or energy trading; energy systems or sector data.
- Computer vision, AI evaluation frameworks, Modal, or relevant Snowflake, cloud, or energy-industry certifications.
Pay
$137,000 — $155,000 USD (base salary)
Tools
Snowflake Cortex AI, LangChain, LangGraph, Microsoft Agent Framework, CrewAI, Model Context Protocol (MCP), Python, SQL
AI focus
Develops and deploys production AI for renewable energy and business-process optimization, including RAG, agentic workflows, forecasting, predictive maintenance, and asset performance optimization.
Model-written summary · the original posting is authoritative