spearhead the design, development, and deployment of agentic AI solutions tailored to the unique challenges and opportunities within the renewable energy sector.
leverage your expertise in autonomous intelligent agents, machine learning, and AI strategy to realize measurable business value.
blend strategic vision with hands-on innovation: driving projects that empower our teams through intelligent agents that learn from data, reason about complex renewable systems, and act autonomously to optimize operations, forecasting, maintenance, market participation, and customer engagement.
collaborate cross-functionally to integrate agentic AI into core processes, enable seamless interactions between humans and AI agents, and embed Responsible AI principles into every stage of the lifecycle.
Requirements
Bachelor’s Degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related discipline; advanced degrees are highly preferred.
2+ years of professional experience in Data Science, Machine Learning, or AI, including hands-on development of agentic or autonomous systems.
Proven track record of delivering impactful AI solutions, with at least 2 years in the renewable energy or related cleantech sector preferred.
Deep familiarity with reinforcement learning, multi-agent systems, natural language processing, conversational AI, and planning architectures.
Fluency in programming languages such as Python (with libraries like TensorFlow, PyTorch, RLlib), familiarity with cloud platforms (GCP, Azure), and scalable architecture.
Hands-on experience with advanced agent development platforms such as Microsoft Copilot Studio, Google Agent Space, or similar frameworks is highly valued.
Familiarity with designing, deploying, and managing agent workflows in these environments, including integrating them with enterprise data sources and automation pipelines
Experience integrating data visualization and analytics tools (Power BI, Looker) with AI agents to surface actionable insights.
Demonstrated leadership, collaboration, and project management skills, mentoring a team or peers toward high performance and innovation.
Certifications in Responsible AI, AI Ethics, or Data Management (e.g. CDMP) are desirable pluses, alongside RL or AI safety certificates.
Strong communication and interpersonal abilities, enabling you to bridge technical and business domains effectively.
Willingness to travel as required to collaborate with field teams, partners, and stakeholders.
Benefits
full range of medical, dental, vision, life, financial, and/or other benefits
401(k) eligibility
various paid time off benefits, such as vacation, sick time, and parental leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningreinforcement learningmulti-agent systemsnatural language processingconversational AIPythonagentic AI solutionsdata scienceAI strategyautonomous systems