AI Solutions Architect
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Before you apply
Salary$137k – $155k
LocationScottsdale Office, Scottsdale, Arizona, United States
Work modehybrid
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEnergy Management
Company size1,001–5,000 people
PostedOct 26, 2026 · 1w ago
Verified live8h ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Snowflake Cortex AI
LangChain
LangGraph
CrewAI
Streamlit
React
OpenAI
Anthropic
Microsoft Foundry
Hugging Face
Dagster
LangSmith
Langfuse
GitHub
GitLab
Pinecone
Weaviate
Chroma
pgvector
Snowflake vector search
Hex
Python
SQL
PyTorch
TensorFlow
scikit-learn
AWS
Azure
GCP
Modal
Benefits
PTO
Medical insurance
Dental insurance
Vision insurance
HSA
FSA
Commuter benefits
Relocation
401(k)
Life insurance
Accident insurance
Adoption assistance
Parental leave
Tuition reimbursement
What The Role Is
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
Essential Skills
•
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.
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
About the company
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.
Our Commitment to Diversity, Equity, & InclusionClearway 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 ClearwayHere 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.
Clearway Energy is an equal opportunity employer that values a broad diversity of talent, knowledge, experience & expertise. We intentionally foster a culture of inclusion that empowers our employees to deliver superior performance to the communities we serve. We encourage minorities, women, individuals with disabilities & protected veterans to join the team. Clearway is a proud promoter of employment opportunities for our Military & Veterans.
Benefits
What We ProvideClearway 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.
Notice to Applicants
Clearway Energy is strongly committed to a philosophy of equal opportunity and fully complies with equal employment laws, 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 [email protected] 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.
Notice to California Applicants
Clearway Energy is strongly committed to a philosophy of equal opportunity and fully complies with equal employment laws, ordinances and regulations for all applicants and employees.