Experienced Energy Consultant

Sargent & Lundy•Chicago, IL

3d•$84,762 - $129,498•Hybrid

About The Position

This role offers a hybrid work arrangement, with three days a week in the office and two days remote. The position requires analyzing power projects, distilling technical concepts into actionable conclusions and recommendations for stakeholders involved in developing, designing, constructing, operating, and financing energy projects in the United States and overseas. The consultant will work with multi-discipline project teams to provide services such as advising power project developers on new utility-scale solar, wind, battery energy storage, thermal, and other projects; evaluating new power and infrastructure projects for financing; modeling economic, technical, and market scenarios for grid operators, utilities, and research agencies; and developing planning studies and business cases for utilities, power producers, and government agencies. In this role, individuals are expected to lead others in using modern tools like automation and AI to improve workflows, reduce rework, and deliver cost-effective designs. This includes directing automation and process-improvement work, such as automating calculations, summarizing technical documents, or generating design documentation, and guiding the use of AI tools while ensuring results are checked. Overseeing engineers who program or script (e.g., Python, MATLAB, advanced Excel) to automate engineering tasks, with review of automated outputs, is valued but not required. Additional learning in Computer Science, Artificial Intelligence, Software Engineering, or related fields is also valued.

Requirements

Bachelor's degree in electrical, mechanical, chemical and/or civil/structural engineering.
At least 5 years of relative experience.
Excellent verbal/written communication skills.
Solid interpersonal skills and ability to work with and guide others.
Project planning, leadership, and organizational skills.
Decision making and judgement.

Nice To Haves

Master’s degree in an engineering discipline or business (e.g., MBA).
Experience working on power or transmission projects.
Relevant coursework/experience pertaining to technical report writing.
Relevant coursework/experience pertaining to multi-discipline teamwork (i.e. design projects, co-ops).
Relevant coursework/experience pertaining to data analysis and visualization.
Relevant coursework/experience pertaining to project finance or business acumen.
Relevant coursework/experience pertaining to conceptual project design.
Relevant coursework/experience pertaining to construction project management and/or scheduling software knowledge.
Experience programming or scripting (e.g., Python, MATLAB, advanced Excel) to automate engineering tasks.
A minor, certificate, or other experience in Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables effective oversight of automation and agentic AI-enabled engineering workflows.

Responsibilities

Analyze power projects and distill technical concepts and information into actionable conclusions and recommendations.
Advise power project developers to support new utility-scale solar, wind, battery energy storage, thermal, and other projects.
Evaluate new power and infrastructure projects independently to support financing.
Model economic, technical, and market scenarios for grid operators, utilities, and research agencies.
Develop planning studies and business cases for utilities, power producers, and government agencies.
Lead others in taking engineering problems from issue to solution by setting expectations for using data and modern tools such as automation and AI to improve workflows, reduce rework, and deliver cost-effective designs.
Direct automation and process-improvement work, such as how teams automate calculations, summarize technical documents, or generate design documentation and guiding when and how AI or agentic AI tools are used while ensuring results are checked.
Oversee engineers who program or script (e.g., Python, MATLAB, advanced Excel) to automate engineering tasks, with review of automated outputs.