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AECOM is seeking an AI Solution Engineer for a full-time, on-site role in Zug, Switzerland. You will design, develop, and implement AI-powered solutions for infrastructure and engineering projects, working with project teams to translate requirements into scalable architectures.
Role involves building AI models, delivering proofs of concept, and collaborating with consulting and presales to shape proposals while ensuring integration with existing systems and workflows.
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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.
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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.
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