AI Solutions Architect
Clearway EnergySan Diego, California
Full Time
Posted January 12, 2026
$160k - $180k
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Job Description
An AI Solutions Architect responsible for designing, developing, and deploying AI-powered solutions to optimize renewable energy asset development and operations, working closely with stakeholders to scale prototypes into production systems and ensure scalable, secure deployment.
Key Responsibilities
- Design and architect end-to-end AI solutions using cloud-native technologies and AI frameworks.
- Develop rapid proof-of-concepts for applications such as energy forecasting, predictive maintenance, and computer vision.
- Build and deploy scalable AI/ML models for renewable energy optimization and asset performance.
- Integrate AI capabilities via APIs and SDKs from providers like OpenAI, Anthropic, and Hugging Face.
- Implement MLOps pipelines for model training, deployment, and monitoring.
- Design and optimize Retrieval Augmented Generation (RAG) architectures, including vector databases and retrieval pipelines.
- Lead the transition of prototypes to production, ensuring scalable, secure deployment with monitoring and governance.
- Gather requirements from stakeholders and present technical concepts and ROI analyses.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
- At least 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 such as LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen for building autonomous AI workflows
- Proficiency in integrating LLM APIs and SDKs from providers including OpenAI, Anthropic, Azure OpenAI, and Hugging Face into production applications
- Experience designing and implementing Retrieval Augmented Generation (RAG) systems, including vector databases such as Pinecone, Weaviate, Chroma, or pgvector, embedding models, and retrieval optimization
- Experience building interactive applications with Gradio and Streamlit
- 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, and 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
Benefits & Perks
Salary range of 160,000 to 180,000 USD
Eligible for an annual cash bonus based on personal and company performance
Hybrid work schedule with office collaboration on Tuesdays and Thursdays
Comprehensive benefits including medical, dental, and vision care
HSAs with company contributions
Health FSAs and dependent daycare FSAs
Commuter benefits
Relocation assistance
401(k) plan with employer match
Life and accident insurances
Fertility programs
Adoption assistance
Generous parental leave
Tuition reimbursement
Benefits for employees in same-sex marriages, civil unions, and domestic partnerships
Generous PTO
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