Senior Applied AI Engineer

About the role

The Senior Applied AI Engineer will play a pivotal role in bridging cutting-edge artificial intelligence with mission-critical power system challenges, contributing to the future of grid reliability and resilience.

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 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

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

Preferred Qualifications

• 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)

Qualifications

• 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

Benefits

• Enhanced 401(k) and financial planning support
• Tuition reimbursement and professional development
• Wellness programs, including an onsite gym
• Flexible work hours
• Hybrid work environment (3 days/week onsite)
• Distance-based relocation assistance available

Pay

The expected salary range for this position is $141,000 - $171,000 per year. This role is also eligible for an annual performance bonus.

Schedule

This is a U.S. based role. If the successful candidate resides outside of the U.S., relocation will be required.