AI Solutions Architect

The role

This person will design and deploy AI-powered solutions to optimize renewable energy asset development and operations. They will bridge business needs and technical implementation through rapid prototyping and scaling proofs-of-concept into production systems.

What you will do

• Design and architect end-to-end AI solutions using Snowflake Cortex AI and cloud-native technologies.
• Develop rapid proofs-of-concept for RAG applications, operational optimization, and predictive maintenance.
• Design and implement AI agentic workflows using frameworks like LangChain or CrewAI.
• Create interactive demos and prototypes using Streamlit or React.
• Translate business requirements into technical specifications and system architectures.
• Build and deploy scalable AI/ML models for renewable energy applications.
• Integrate AI capabilities via APIs and SDKs from providers like OpenAI and Anthropic.
• Implement MLOps pipelines using Dagster, Snowflake, and LLM observability tooling.
• Design and optimize RAG architectures including vector database implementation.
• Lead the transition of successful prototypes to production-grade applications.

Required qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent practical experience
• 5+ years of experience in ML or data engineering, including recent production LLM or RAG work
• Proven track record of taking AI projects from proof-of-concept to production
• Strong experience with Snowflake Cortex AI or similar systems
• Hands-on experience with AI agentic frameworks (LangChain, LangGraph, Microsoft Agent Framework, CrewAI, or similar)
• Hands-on experience with Model Context Protocol (MCP)
• Proficiency in integrating LLM APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, Hugging Face)
• Experience designing and implementing RAG systems
• Experience building interactive applications with Streamlit, Hex, or similar
• Advanced GitHub/GitLab workflows including CI/CD, branching strategies, and code review processes
• Expertise in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies

Nice to have

• Experience in renewable energy, utilities, or energy trading sectors
• Experience with advanced AI techniques, such as computer vision for asset monitoring, and AI evaluation frameworks
• Familiarity with energy management systems (EMS), SCADA, and industrial IoT platforms
• Experience with energy sector data (weather, generation, market pricing)
• Knowledge of energy markets, grid operations, and regulatory frameworks
• Proficiency with Modal for scalable ML model deployment and orchestration
• Certifications in Snowflake, cloud platforms, or energy industry standards

Benefits

• Generous PTO
• Medical, dental & vision care
• HSAs with company contributions
• Health FSAs
• Dependent daycare FSAs
• Commuter benefits
• Relocation
• 401(k) plan with employer match
• Variety of life & accident insurances
• Fertility programs
• Adoption assistance
• Generous parental leave

Before you apply

• No visa sponsorship or any kind of sponsorship for employment authorization is available for this role, now or in the future.

About the company

Clearway Energy Group is leading the transition to a world powered by clean energy. Their portfolio comprises approximately 11.6 GW of gross generating capacity in 26 states.