Investment Planning Intern - Summer 2027

AES
Dayton, Ohio, United StatesPosted Sep 11, 2026
Summer 2027

About the role

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? 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.

We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work™ rankings across the markets where we operate. 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. 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. About the Summer Internship As a Summer Engineering Intern at AES, you will gain hands-on experience working alongside experienced professionals on projects that support the future of the electric grid and the energy transition. You'll apply your academic knowledge to real-world challenges, develop technical and analytical skills, and collaborate with teams across engineering, operations, and business functions.

Responsabilities

Support engineers on a variety of electric infrastructure projects designing future state distribution and transmission power system Develop unique solutions to gather, store, and utilize electrical asset data implemented and collected in the field to improve data driven decision mak

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