AI Solution Engineer

AECOM · Zurich

Software EngineeringFull-time

AECOM is hiring a AI Solution Engineer in Zurich, Zurich (full-time). Posted 26 September 2026. Apply directly on AECOM's own careers site — no account needed.

Company Description

Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.

There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

Job Description

Role Description

The AI Solution Engineer role is a full-time, on-site position based in Zug, Switzerland. The individual in this role will design, develop, and implement AI-powered solutions that support AECOM’s infrastructure and engineering projects, working closely with project teams and stakeholders to understand requirements and translate them into scalable technical architectures. Day-to-day responsibilities include building and integrating AI models and software components, preparing technical demonstrations and proofs of concept, and collaborating with consulting and presales teams to shape solution proposals. The AI Solution Engineer will support client-facing engagements by explaining AI capabilities in clear business terms, participate in solution workshops, and ensure successful integration of AI tools into existing workflows and systems. The role also involves monitoring solution performance, troubleshooting issues, and contributing to continuous improvement, documentation, and best practices for AI adoption across the organization.

Qualifications

Additional Information

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