Grid Planning & AI Automation Lead

EPRI; Charlotte (NC); On-site; USD 110,000 - 125,000; Full time

Benefits offered by this job

Annual incentive program

Medical, dental, vision

401k and paid time off

Job summary

EPRI, located in Charlotte, NC, seeks a Technical Leader I to conduct research in high-impact electric power system fields and support development of advanced transmission planning methodologies. You will design and execute studies to evaluate future grid needs amid load growth, resource shifts, extreme weather, and evolving regulations.

You will help create intelligent planning workflows, automate study processes with Python, and contribute to decisions across reliability, resource adequacy,

Qualifications

• Bachelor’s degree in a technical field or equivalent experience.
• Experience with transmission planning and related methods.
• Proficiency with Python or similar for automating studies or analytical workflows.

Responsibilities

• Works independently on technical activities without direct supervision.
• Develops long-term planning scenarios and evaluates future transmission needs across multiple planning horizons.
• Applies power system simulation, optimization, probabilistic assessment, and risk-based planning methods.
• Designs and implements Python-based automation to improve efficiency and reproducibility of planning studies.
• Develops technical recommendations and planning strategies for utility, ISO/RTO, and other stakeholders.
• Communicates methods, findings, and recommendations to engineering, management, regulatory, and executive audiences.

Skills

Transmission planning

Transmission reliability

Resilience

Interconnection

Risk-based planning

Integrated system planning

Education

Bachelor’s degree in a technical field

Tools

Python

Job description

EPRI, located in Charlotte, NC, seeks a Technical Leader I to conduct research in high-impact electric power system fields and support development of advanced transmission planning methodologies. You will design and execute studies to evaluate future grid needs amid load growth, resource shifts, extreme weather, and evolving regulations.

You will help create intelligent planning workflows, automate study processes with Python, and contribute to decisions across reliability, resource adequacy,