Aes
Construction Manager
US, Arlington, VA · Contract
Work authorization requiredDetected 8 days ago
Project ManagementLeadershipCommunicationMicrosoft OfficeConstruction ManagementOSHARenewable Energy
About the role
- Join The AES Corporation, the largest US-based global power company with a team of 8,300 employees across 12 countries.
- AES has been ranked #1 by BloombergNEF in renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricity for millions of people worldwide.
- AES was also named one of the World's Most Ethical Companies for the 13th consecutive year in 2026, highlighting our dedication to integrity, transparency, and responsible business practices.
Responsibilities
- Collaborate with the safety department to ensure all safety goals are the highest priority
- Creates a culture of continuous improvement.
- Prepare and manage the project execution plan, including the project schedule
- and prepare and manage an effective project closeout.
- Prepare and manage the project execution plan, including the project schedule; coordinate and host the project kickoff meetings; and prepare and manage an effective project closeout.
- Manage the construction of utility-scale solar and Battery Energy Storage (BESS) projects to the 3rd party EPC contract and permit requirements including schedule, budget, scope of work, deliverables,
- Manage internal safety goals with 3rd party EPC Contractors
- Track project progress against the schedule and manage schedule remediation plans
- Ensure thorough and quality work by verifying items against scopes of work and design plans to minimize punch lists and deliver the best-in-class assets.
- Proactively communicate and manage an ongoing punch list with 3rd party EPC Contractor, managing the final punch list from Mechanical Completion to completion
Requirements
- Advanced knowledge of solar construction management processes, means and methods
- Ability to quickly learn and adapt to changing software and technology needs.
- Must be willing to travel and generally be on site 5 days a week.
- Must be able to work in various climates and walk sites as necessary for inspections and other requirements.
Nice to have
- Proficient with Microsoft Word and Excel.
- Knowledge of Procore is a plus.
- FAA 107 license a plus and will be required if not already completed.
Compensation
- The expected salary for this position, at commencement of employment, is between $108,000 and $135,150/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge,
Benefits
- medical, dental, and vision coverage, life insurance, 401(k) eligibility, and paid time off (including vacation, sick leave time, and parental leave).
- Details of participation in these benefit plans will be provided if a candidate receives an offer of employment.
- The total compensation package for this position also includes annual bonus.
Company info
- Are you ready to be part of a company that's not just talking about the future, but actively shaping it?
- We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work™ rankings across the markets where we operate.
- Our spirit of innovation continues to earn industry recognition.
- AES is the only seven-time winner of the Edison Electric Institute's Edison Awards in the twenty-first century, a distinction honoring global leadership in advancing the electric power industry.
- If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you.
- We're not just building a more sustainable future, we're powering it.
- Apply now and energize your career with a true leader in global energy.
Visa & Work Authorization
- E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
This listing is sourced directly from Aes's careers page and normalized into a canonical job model.