AI Solutions Architect

Clearway Energy • Scottsdale, AZ

2d • Hybrid

About The Position

Clearway Energy Group is seeking an experienced AI Solutions Architect to drive the development and deployment of AI-powered solutions that optimize renewable energy asset development and operations. The role bridges business needs and technical implementation, focusing on rapidly prototyping AI solutions and scaling proofs of concept into production-ready systems. The architect works with Engineering, Operations, Development, and business stakeholders to improve renewable power generation capabilities and internal work processes.

The position designs end-to-end AI solutions, develops prototypes and interactive demos, builds and deploys AI/ML models, and integrates enterprise AI capabilities. It also leads successful prototypes into production, collaborates with DataOps and platform teams on secure, scalable deployments, and establishes monitoring and governance practices. The role engages stakeholders to gather requirements, present technical concepts and ROI analyses, and train and support end users.

The role is based in Scottsdale, Arizona. The position is eligible for an annual cash bonus subject to personal and company performance goals. No employment authorization sponsorship is available now or in the future.

Requirements

• Bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
• At least 5 years of experience in machine learning 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 for enterprise AI workflows.
• Hands-on experience with agentic AI frameworks, such as LangChain, LangGraph, Microsoft Agent Framework, or CrewAI, for autonomous AI workflows.
• Hands-on experience with Model Context Protocol (MCP) for connecting agents to tools and data sources.
• Proficiency integrating LLM APIs and SDKs, including OpenAI, Anthropic, Azure OpenAI, or Hugging Face, into production applications.
• Experience designing and implementing RAG systems, including vector databases, embedding models, and retrieval optimization.
• Experience building interactive applications with Streamlit, Hex, or similar tools.
• Advanced GitHub or GitLab workflows, including CI/CD, branching strategies, and code review processes.
• Expertise in Python, SQL, and modern ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Experience with cloud platforms such as AWS, Azure, or GCP and containerization technologies.
• Strong understanding of data engineering principles, ETL processes, and data governance.
• Deep knowledge of machine learning algorithms, particularly time-series forecasting and predictive analytics.
• Strong prompt engineering skills, including optimizing LLM performance and implementing function-calling and tool-use patterns.
• Understanding of distributed systems, microservices architecture, and API design.
• Knowledge of data security, privacy, and compliance requirements.
• Ability to evaluate and benchmark AI/LLM solutions for accuracy, latency, and cost optimization.

Nice To Haves

• 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 such as weather, generation, and 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.

Responsibilities

• 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 and process optimization, energy forecasting, and predictive maintenance.
• Design and implement agentic workflows using orchestration frameworks such as LangChain, LangGraph, or CrewAI.
• Create interactive demos and prototypes with Streamlit, React, or similar tools for stakeholder validation.
• Translate business requirements into technical specifications and system architectures.
• Build and deploy scalable AI/ML models for business process optimization, renewable energy applications such as wind and solar forecasting, and asset performance optimization.
• Integrate AI capabilities through APIs and SDKs from providers such as OpenAI, Anthropic, Microsoft Foundry, and Hugging Face.
• Implement MLOps pipelines using Dagster, Snowflake, and LLM observability tooling for model training, deployment, and monitoring.
• Design and optimize RAG architectures, including vector databases, embedding strategies, and retrieval pipelines.
• Use robust version control and collaboration practices with GitHub or GitLab.
• Lead the transition of successful prototypes to production-grade applications.
• Collaborate with DataOps and platform teams to ensure scalable, secure deployments.
• Implement monitoring, logging, and alerting for production AI systems.
• Establish best practices for AI model governance and compliance.
• Conduct requirements-gathering sessions with operations and executive teams.
• Present technical concepts and ROI analyses to technical and non-technical stakeholders.
• Provide training and support to end users on AI-powered tools and dashboards.

Benefits

• Generous paid time off.
• Medical, dental, and vision care.
• Health savings accounts with company contributions.
• Health and dependent daycare flexible spending accounts.
• Commuter benefits.
• Relocation assistance.
• 401(k) plan with employer match.
• Life and accident insurance.
• Fertility programs.
• Adoption assistance.
• Generous parental leave.
• Tuition reimbursement.
• Benefits for employees in same-sex marriages, civil unions, and domestic partnerships.
• Company-provided meals and events for office-based employees.
• Annual cash bonus, subject to personal and company performance goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior