AI Solutions Architect at Clearway Energy Group in San Diego, CA | USD160,000-180,000 | Kablio

Role

Description

api integration

rag architecture

mlops pipelines

model deployment

workflow orchestration

monitoring alerts

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

Requirements

python

snowflake

modal

langchain

aws

5+ years

Ability to evaluate and benchmark AI/LLM solutions for accuracy, latency, and cost optimization.
Proficiency with Modal for scalable ML model deployment and orchestration
Certifications in Snowflake, cloud platforms, or energy industry standards
Deep knowledge of machine learning algorithms, particularly time series forecasting and predictive analytics.
Proven track record of taking AI projects from proof-of-concept to production.
Experience with advanced AI techniques, such as computer vision for asset monitoring, and AI evaluation frameworks
Experience designing and implementing RAG systems, including vector databases (Pinecone, Weaviate, Chroma, pgvector, or similar), embedding models, and retrieval optimization.
Familiarity with energy management systems (EMS), SCADA, and industrial IoT platforms
Advanced GitHub/GitLab workflows including CI/CD, branching strategies, and code review processes.
Strong experience with Snowflake Cortex AI or similar systems for enterprise AI workflows
Expertise in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)
Proficiency in integrating LLM APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production applications.
Experience in renewable energy, utilities, or energy trading sectors
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
Strong prompt engineering skills with experience optimizing LLM performance and implementing function calling/tool use patterns.
Experience with energy sector data (weather, generation, market pricing)
Strong understanding of data engineering principles, ETL processes, and data governance
5+ years of experience in AI/ML solution architecture and implementation
Knowledge of data security, privacy, and compliance requirements
Knowledge of energy markets, grid operations, and regulatory frameworks
Experience building interactive applications with Gradio and Streamlit
Hands-on experience with AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen) for building autonomous AI workflows.
Understanding of distributed systems, microservices architecture, and API design
Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

clearway will not sponsor non-immigrant visas (h-1b, tn, e-3, etc.)

Security clearance

Information not given or found

Company

Overview

Clearway Energy Group has a strong foothold in the renewable energy sector, driving the transition to clean energy.
The company specializes in utility-scale solar, wind, and energy storage projects, providing a sustainable energy future.
With a growing portfolio of assets, Clearway is one of the largest independent renewable energy companies in the U.S.
Founded in 2018, Clearway focuses on expanding its capabilities in the renewable sector through long-term investments.
The company's projects span across the U.S., from large solar farms in California to wind farms in the Midwest.
Clearway is committed to modernizing the grid with innovative energy solutions that power homes and businesses.
In addition to its clean energy projects, the company provides energy storage solutions to optimize grid reliability.

Culture + Values

Helping customers achieve their clean energy goals is a top priority.
Sustainability is about focusing on the long term and is a deeply held value.
Being a good corporate citizen is a fundamental value.
We strive to be good stewards of the environment, good neighbors, and to cultivate a trustworthy reputation.
We act with integrity and accountability to get the job done.
We aspire to bring out the best in everyone.
We embrace opportunities to do challenging work that can change the world.
We share setbacks and celebrate successes.

Environment + Sustainability

95% Carbon-Free

Electricity Generation

Achieved 95% carbon-free electricity generation a year ahead of the 2035 target.

17M MWh Zero

Zero-Low Carbon Electricity

Produced 17 million MWh of zero- or low-carbon electricity, enough to power over 2 million homes.

2.5% Spending

LEADS Supplier Commitment

Raised supplier spending to 2.5% towards Local, Environmentally Aware, Diverse, and Small (LEADS) businesses.

100% Community Engagement

Renewable Sites

All renewable sites over 50 MW now have community engagement plans, achieving the target a year early.

Scope 1 and Scope 2 emissions from flexible assets in 2024 were 0.46 M tCO₂ and 0.00456 M tCO₂ respectively
100% net-zero Scope 1 and Scope 2 GHG emissions by 2050 commitment
Avoided 9.1 million metric tons of CO₂ via customer partnerships
Ownership portfolio: 6.6 GW renewables + 2.5 GW flexible generation
Operating portfolio: 9.1 GW renewables + 2.8 GW flexible generation
Generated 16.2 M MWh of carbon-free electricity

Inclusion & Diversity

DEI efforts focus on People, Products & Customers, and Purchasing
People: structured processes for recruitment, retention, engagement, and training
Products & Customers: partnerships targeting underserved markets and customer diversification
Purchasing: implementing non-discriminatory supplier practices and building supplier diversity program
Employee Inclusion Groups (voluntary and company-sponsored) support demographic populations and foster inclusive communities
Equal opportunity employer encouraging minorities, women, individuals with disabilities & protected veterans
4-pronged DEI framework: metrics, processes, education, and programmatic initiatives

Articles

Portfolio

Careers

News & Press Releases

Daggett Solar + Storage press release

Role

Description

api integration

rag architecture

mlops pipelines

model deployment

workflow orchestration

monitoring alerts

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

Requirements

python

snowflake

modal

langchain

aws

5+ years

Ability to evaluate and benchmark AI/LLM solutions for accuracy, latency, and cost optimization.
Proficiency with Modal for scalable ML model deployment and orchestration
Certifications in Snowflake, cloud platforms, or energy industry standards
Deep knowledge of machine learning algorithms, particularly time series forecasting and predictive analytics.
Proven track record of taking AI projects from proof-of-concept to production.
Experience with advanced AI techniques, such as computer vision for asset monitoring, and AI evaluation frameworks
Experience designing and implementing RAG systems, including vector databases (Pinecone, Weaviate, Chroma, pgvector, or similar), embedding models, and retrieval optimization.
Familiarity with energy management systems (EMS), SCADA, and industrial IoT platforms
Advanced GitHub/GitLab workflows including CI/CD, branching strategies, and code review processes.
Strong experience with Snowflake Cortex AI or similar systems for enterprise AI workflows
Expertise in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)
Proficiency in integrating LLM APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production applications.
Experience in renewable energy, utilities, or energy trading sectors
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
Strong prompt engineering skills with experience optimizing LLM performance and implementing function calling/tool use patterns.
Experience with energy sector data (weather, generation, market pricing)
Strong understanding of data engineering principles, ETL processes, and data governance
5+ years of experience in AI/ML solution architecture and implementation
Knowledge of data security, privacy, and compliance requirements
Knowledge of energy markets, grid operations, and regulatory frameworks
Experience building interactive applications with Gradio and Streamlit
Hands-on experience with AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen) for building autonomous AI workflows.
Understanding of distributed systems, microservices architecture, and API design
Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

clearway will not sponsor non-immigrant visas (h-1b, tn, e-3, etc.)

Security clearance

Information not given or found

Company

Overview

Clearway Energy Group has a strong foothold in the renewable energy sector, driving the transition to clean energy.
The company specializes in utility-scale solar, wind, and energy storage projects, providing a sustainable energy future.
With a growing portfolio of assets, Clearway is one of the largest independent renewable energy companies in the U.S.
Founded in 2018, Clearway focuses on expanding its capabilities in the renewable sector through long-term investments.
The company's projects span across the U.S., from large solar farms in California to wind farms in the Midwest.
Clearway is committed to modernizing the grid with innovative energy solutions that power homes and businesses.
In addition to its clean energy projects, the company provides energy storage solutions to optimize grid reliability.

Culture + Values

Helping customers achieve their clean energy goals is a top priority.
Sustainability is about focusing on the long term and is a deeply held value.
Being a good corporate citizen is a fundamental value.
We strive to be good stewards of the environment, good neighbors, and to cultivate a trustworthy reputation.
We act with integrity and accountability to get the job done.
We aspire to bring out the best in everyone.
We embrace opportunities to do challenging work that can change the world.
We share setbacks and celebrate successes.

Environment + Sustainability

95% Carbon-Free

Electricity Generation

Achieved 95% carbon-free electricity generation a year ahead of the 2035 target.

17M MWh Zero

Zero-Low Carbon Electricity

Produced 17 million MWh of zero- or low-carbon electricity, enough to power over 2 million homes.

2.5% Spending

LEADS Supplier Commitment

Raised supplier spending to 2.5% towards Local, Environmentally Aware, Diverse, and Small (LEADS) businesses.

100% Community Engagement

Renewable Sites

All renewable sites over 50 MW now have community engagement plans, achieving the target a year early.

Scope 1 and Scope 2 emissions from flexible assets in 2024 were 0.46 M tCO₂ and 0.00456 M tCO₂ respectively
100% net-zero Scope 1 and Scope 2 GHG emissions by 2050 commitment
Avoided 9.1 million metric tons of CO₂ via customer partnerships
Ownership portfolio: 6.6 GW renewables + 2.5 GW flexible generation
Operating portfolio: 9.1 GW renewables + 2.8 GW flexible generation
Generated 16.2 M MWh of carbon-free electricity

Inclusion & Diversity

DEI efforts focus on People, Products & Customers, and Purchasing
People: structured processes for recruitment, retention, engagement, and training
Products & Customers: partnerships targeting underserved markets and customer diversification
Purchasing: implementing non-discriminatory supplier practices and building supplier diversity program
Employee Inclusion Groups (voluntary and company-sponsored) support demographic populations and foster inclusive communities
Equal opportunity employer encouraging minorities, women, individuals with disabilities & protected veterans
4-pronged DEI framework: metrics, processes, education, and programmatic initiatives

Articles

Portfolio

Careers

News & Press Releases

Daggett Solar + Storage press release