AI Solutions Architect

Clearway Energy; Scottsdale (AZ); On-site; USD 137,000 - 155,000; Full time

Benefits offered by this job

Medical, dental & vision care

HSAs with company contributions

Health FSAs

Dependent daycare FSAs

Relocation

401(k) with employer match

Life & accident insurances

Tuition reimbursement

Job summary

Clearway Energy Group in Scottsdale, AZ seeks an experienced AI Solutions Architect to lead designing and deploying AI-powered solutions that optimize renewable asset development and operations.

You will partner with Engineering, Operations, and business teams to translate requirements into scalable architectures, build rapid PoCs, and guide production deployments across wind, solar, and storage assets.

Qualifications

• Bachelor's or Master's in CS/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 for enterprise AI workflows.

Responsibilities

• Design end-to-end AI solutions using Snowflake Cortex AI and cloud-native technologies.
• Develop rapid proofs-of-concept for RAG applications, optimization, forecasting, and maintenance use cases.
• Design and implement AI agentic workflows using LangChain, LangGraph, CrewAI, or similar orchestration tools.
• Create interactive demos and prototypes using Streamlit or Hex for stakeholder validation.
• Translate business requirements into technical specifications and system architectures.
• Build and deploy scalable AI/ML models for business process optimization and energy forecasting.
• Integrate AI via APIs/SDKs (OpenAI, Anthropic, Azure OpenAI, Hugging Face).
• Implement MLOps pipelines using Dagster, Snowflake, and LLM observability tooling.
• Design and optimize RAG architectures, including vector databases and embedding strategies.
• Ensure robust version control and collaboration using GitHub/GitLab.

Skills

LLM deployment

Prompt engineering

RAG systems

Python

SQL

Cloud platforms

API design

MLOps

Distributed systems

Data governance

Education

Bachelor's or Master's degree in CS/Engineering/Data Science

Tools

Snowflake Cortex AI

LangChain

LangGraph

CrewAI

LangSmith

Langfuse

Streamlit

Hex

OpenAI API

Anthropic

Azure OpenAI

Hugging Face

Dagster

GitHub/GitLab

Pinecone

Weaviate

Chroma

pgvector

Snowflake vector search

PyTorch

TensorFlow

scikit-learn

Kubernetes

Docker

Job description

We are seeking an experienced AI Solutions Architect to join our data team and drive the development and deployment of AI-powered solutions that optimize renewable energy asset development and operations. This role bridges the gap between business needs and technical implementation, focusing on rapid prototyping and scaling proofs-of-concept into production-ready systems. You will work closely with Engineering, Operations, Development, and business stakeholders to deliver AI solutions that enhance our renewable power generation capabilities and optimize internal work processes.

Location: Scottsdale, AZ

What You'll Be Doing

Solution Design & Development

• Design and architect end-to-end AI solutions using Snowflake Cortex AI and cloud-native technologies.
• Develop rapid proofs-of-concept for Retrieval-Augmented Generation (RAG) applications, operational optimization, process optimization, energy forecasting, and predictive maintenance use cases.
• Design and implement AI agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration tools.
• Create interactive demos and prototypes using Streamlit or React for stakeholder validation.
• Translate business requirements into technical specifications and system architectures.

Technical Implementation

• Build and deploy scalable AI/ML models for business process optimization, renewable energy applications, including wind/solar forecasting, and asset performance optimization.
• Integrate AI capabilities via APIs and SDKs from providers including OpenAI, Anthropic, Microsoft Foundry, and Hugging Face
• Implement MLOps pipelines using Dagster, Snowflake, and LLM observability tooling (such as LangSmith or Langfuse) for model training, deployment, and monitoring.
• Design and optimize RAG architectures, including vector database implementation, embedding strategies, and retrieval pipelines.
• Ensure robust version control and collaboration practices using GitHub/GitLab.

Production Scaling & Operations

• 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 AI systems in production.
• Establish best practices for AI model governance and compliance.

Stakeholder Engagement

• Conduct requirements gathering sessions with operations and executive teams.
• Present technical concepts and ROI analyses to both technical and non-technical stakeholders
• Provide training and support to end users on AI-powered tools and dashboards.

What You'll Bring

Required

• 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 for enterprise AI workflows
• Hands- on experience with AI agentic frameworks (LangChain, LangGraph, Microsoft Agent Framework, CrewAI, or similar) for building autonomous AI workflows.
• Hands- on experience with Model Context Protocol (MCP) for connecting agents to tools and data sources.
• Proficiency in integrating LLM APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production applications.
• Experience designing and implementing RAG systems, including vector databases (Pinecone, Weaviate, Chroma, pgvector, Snowflake vector search, or similar), embedding models, and retrieval optimization.
• 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
• 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 with experience optimizing LLM performance and implementing function calling/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.

What Would Be Nice

• 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.

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

#LI-Hybrid

The pay rate for the successful candidate will depend on geographic location, skills, relevant and demonstrated experience, education, training and certifications, and other factors permitted by law. This role is eligible to earn an annual cash bonus, subject to personal and company performance goals.

Salary Range Across all U.S. Locations

$137,000 - $155,000 USD

Clearway Energy Group is leading the transition to a world powered by clean energy. Along with our public affiliate Clearway Energy, Inc., our portfolio comprises approximately 11.6 GW of gross generating capacity in 26 states, including 9.1 GW of wind, solar, and battery energy storage assets, and over 2.5 GW of conventional dispatchable power generation providing critical grid reliability services. As we develop a nationwide pipeline of new energy projects for the future, Clearway’s operating fleet generates enough reliable electricity to power more than 3 million homes today. Clearway Energy Group is headquartered in San Francisco with offices in Denver, Houston, Phoenix, Princeton, and San Diego. For more information, visit clearwayenergygroup.com.

What We Provide

Clearway offers all eligible employees working 20+ hours per week a comprehensive menu of benefits: generous PTO, medical, dental & vision care, HSAs with company contributions, health FSAs, dependent daycare FSAs, commuter benefits, relocation, & a 401(k) plan with employer match, a variety of life & accident insurances, fertility programs, adoption assistance, generous parental leave, tuition reimbursement, & benefits for employees in same-sex marriages, civil unions & domestic partnerships. For more on Clearway benefits, visit our Benefits Website .

Our Commitment to Diversity, Equity, & Inclusion

Clearway Energy Group’s vision is a world powered by clean energy. Along with our public affiliate Clearway Energy, Inc., our portfolio comprises approximately 11.8 GW of gross generating capacity in 26 states, including 9.1 GW of wind, solar, and battery energy storage assets, and over 2.8 GW of flexible dispatchable power generation providing critical grid reliability services. As we develop a nationwide pipeline of new energy projects for the future, Clearway’s operating fleet generates enough reliable electricity to power more than 2 million homes today. Clearway Energy Group is headquartered in San Francisco with offices in Denver, Houston, Phoenix, Princeton, and San Diego. For more information, visit clearwayenergygroup.com.

Working at Clearway

Here at Clearway, we’re committed to balancing flexibility while fostering strong relationships with our teammates. We do this by prioritizing corporate new hires based near one of our offices in San Francisco, San Diego, Scottsdale, Houston, Denver, & Princeton. Our office-based employees work together from our offices on Tuesday, Wednesday & Thursday to collaborate & learn, build community, get to know one another, & enjoy company-provided meals & events. Our site-based employees collaborate in-person daily to keep our locations operating safely and efficiently while fostering strong relationships within their local communities.

Notice to Applicants

Clearway Energy is strongly committed to a philosophy of equal opportunity and fully complies with equalemploymentlaws , ordinances, and regulations for all applicants and employees. We will make reasonable accommodations to enable individuals with disabilities to apply and compete for employment opportunities for which they are qualified. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e‑mail to [e-mail] and let us know the nature of your request and your contact information.

All official communication regarding this position will come only from an email address ending with @clearwayenergy.com. If you receive outreach from any other email address claiming to represent Clearway Energy, please do not respond, as it is fraudulent.