Senior Applied AI Engineer

ISO New England Inc.•Holyoke, MA

23h•$141,000 - $171,000•Hybrid

About The Position

ISO New England is the independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England’s ongoing transition to clean energy. ISO New England's Advanced Technology Solutions (ATS) department, the R&D engine driving innovation across the region’s power grid and the industry, is seeking a Senior Applied AI Engineer to support our Grid AI Innovation initiative. This is a unique opportunity to bridge cutting-edge artificial intelligence with mission-critical power system challenges and shape the future of grid reliability and resilience. As a Senior Applied AI Engineer, you will operate at the intersection of power systems engineering and enterprise AI. You will design, develop, and deploy production-grade AI solutions, including generative AI and agent-based systems that directly impact New England's energy infrastructure. You'll collaborate with stakeholders across Operations, Planning, Markets, and IT to identify high-value use cases, architect scalable solutions, and ensure responsible AI practices throughout the lifecycle. This role is perfect for someone who combines deep technical expertise in both power systems and modern AI technologies.

Requirements

Master’s Degree in Electrical Engineering, Computer Science, or a related field with focus on power systems and artificial intelligence. PhD is preferred.
3+ years of experience in power system operations, planning, or engineering, with demonstrated understanding of RTO/ISO business processes and challenges
3+ years of hands-on experience developing and deploying AI/ML solutions in production settings
Knowledge and user experience in cloud platforms such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)
Strong software engineering skills (Python, data pipelines, version control, etc.)
Excellent analytical, problem-solving, and communication skills with ability to translate complex technical concepts for non-technical stakeholders

Nice To Haves

Experience with power system simulation tools (e.g., PSS®E, PSCAD, PowerWorld, DSATools)
Experience with generative AI and LLM-based applications (e.g., RAG, tool use, agent frameworks)
Familiarity with agent-based architectures, orchestration frameworks, and multi-agent system design
Understanding of MLOps practices (CI/CD, model monitoring, data pipelines)

Responsibilities

Design and deploy advanced AI/ML solutions to solve complex engineering and business problems, including grid planning workflow automation and AI-powered decision-support systems
Leverage cloud platforms to support large-scale power system simulations and AI/ML workloads
Partner with business units (Operations, Planning, Markets, IT) to analyze business needs, design and prototype solutions, and drive production deployment of scalable AI systems.
Engage with leading research organizations (EPRI, DOE National Labs, PSERC, CURENT) and industry partners to advance innovation and adopt emerging technologies
Identify new opportunities for AI adoption, develop prototypes, and translate emerging technologies into practical applications for grid operations and planning