Clearway Energy Group · 8 hours ago
AI Solutions Architect
San Diego, California, United States
Full-time
Hybrid
Senior Level
$160K/yr - $180K/yr
5+ years expClearway Energy Group is leading the transition to a world powered by clean energy, and they are seeking an experienced AI Solutions Architect to join their data team. This role focuses on developing and deploying AI-powered solutions to optimize renewable energy asset development and operations, bridging the gap between business needs and technical implementation.
ConstructionEnergyRenewable Energy
No H1B
Responsibilities
Design and architect end-to-end AI solutions using Snowflake Cortex AI, Modal, and cloud-native technologies
Develop rapid proof-of-concepts for Retrieval augmented generation (RAG) applications, operational optimization, process optimization, energy forecasting, predictive maintenance, and computer vision (drone footage) 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 Gradio and Streamlit 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, including wind/solar forecasting, and asset performance optimization
Integrate AI capabilities via APIs and SDKs from providers including OpenAI, Anthropic, Azure OpenAI, and Hugging Face
Implement MLOps pipelines using Dagster, Snowflake, Sentry, and Modal 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 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 AI systems in production
Establish best practices for AI model governance and compliance
Conduct requirements gathering sessions with operations, trading, 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
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
5+ years of experience in AI/ML solution architecture and implementation
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, Semantic Kernel, CrewAI, or AutoGen) for building autonomous AI workflows
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, or similar), embedding models, and retrieval optimization
Experience building interactive applications with Gradio and Streamlit
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
Preferred
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
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
Company
Clearway Energy Group
Clearway Energy Group delivers renewable power solutions through engineering, procurement, and construction management.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$3.59BKey Investors
TotalEnergies
2025-06-25Debt Financing· $1.02B
2024-08-26Debt Financing· $550M
2023-07-26Debt Financing· $421M
Leadership Team
Craig Cornelius
Chief Executive Officer
Alexandra Farias, SHRM
Human Resources Business Partner
Recent News
Energy-Storage.News
2025-12-11
Company data provided by crunchbase