AI Intern
Listed on 2026-08-30
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Software Development
AI Engineer (Applied/Software)
At the heart of everything we do is our people. People who are masters of their fields. People who strive to deliver quality and excellence. People who make a difference in their communities.
Our employees believe in our purpose and know that our work ultimately makes the world a better place. When you bring your talents to Atlas, you become part of a national team of over 3,500 experienced engineers, environmental scientists, inspectors, and other professionals working to improve the infrastructure assets and natural environment in the communities where we live and work.
At Atlas, we’re committed to fostering a company culture that is welcoming for every employee.
Our PeoplePushing the limits of what’s possible, we’re a place for intellectual curiosity.
Our employees believe in our purpose and know that our work ultimately makes the world a better place. When you bring your talents to Atlas, you become part of a national team of over 3,500 experienced engineers, environmental scientists, inspectors, and other professionals working to improve the infrastructure assets and natural environment in the communities where we live and work.
Your future at Atlas awaits – join us today!
Are you ready to work for one of the fastest growing infrastructure and environmental solutions companies in the country? Will you accept the challenge to innovate and solve complex and sophisticated problems? Do you want to grow as a professional, and transform and better the communities where you live and work?
Atlas is a trusted leader in environmental and infrastructure consulting services; we provide services that enable communities to flourish and thrive. With a team of 3,500 employees and offices throughout the US, we combine local expertise and a network of relationships to deliver solutions to both public and private clients. Our services help improve the quality of life in the communities where we live and work.
We always aim for smart, safe, and sustainable results. At Atlas we understand that our future is everyone’s responsibility, and we create a better experience at every stage of a project.
Atlas is seeking motivated AI Interns to support the development of innovative artificial intelligence tools that enhance how civil engineering and planning teams deliver projects.
This role offers hands‑on experience applying AI, automation, and data analysis to real‑world transportation, infrastructure, and environmental challenges. Success in this role will be demonstrated through the delivery of functional prototypes, efficiency‑improving tools, and thoughtful collaboration with technical teams across the company.
Join a dynamic, value‑driven, client‑and community‑focused environment where your work creates a lasting positive impact for the people and communities we serve.
Assist in the design and development of AI‑driven tools to improve engineering workflows, data analysis, and reporting
Develop scripts, models, or workflows that automate repetitive or data‑intensive tasks
Support internal teams by translating business and engineering needs into technical AI solutions
Conduct research and testing on emerging AI technologies relevant to civil engineering and project delivery
Document development processes, assumptions, and user guidance for internal tools
Collaborate with engineers, planners, and IT staff to iteratively refine tools based on feedback
You’ll thrive here if you haveCurrently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related field. Will accept undergraduate candidates with relevant coursework or project experience in lieu of professional experience
Ability to think analytically and solve problems independently
Strong written and verbal communication skills
Ability to manage tasks and meet deadlines in a part‑time, fast‑paced environment
Experience or coursework related to AI, machine learning, data analytics, or automation
Experience with or exposure to tools such as Python, Jupyter Notebooks, Git/Git Hub, APIs, or low‑code automation platforms
Preferred but not required: SQL, Power BI, Azure AI, OpenAI…
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