AI Solution Engineer

The AI Solution Engineer role at AECOM involves designing, developing, and implementing AI-powered solutions to support infrastructure and engineering projects. AECOM is a global infrastructure consulting firm, dedicated to solving complex challenges and building legacies for future generations. The company works on projects that improve commutes, provide clean water, and transform skylines, helping communities thrive worldwide. The main day-to-day responsibilities of the AI Solution Engineer include building and integrating AI models and software components, preparing technical demonstrations, and collaborating with consulting and presales teams. The role also involves supporting client-facing engagements, explaining AI capabilities in clear business terms, and ensuring the successful integration of AI tools into existing workflows. Additionally, the engineer will monitor solution performance, troubleshoot issues, and contribute to continuous improvement and documentation of best practices for AI adoption. To qualify for this role, candidates must have a Bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related technical field. Strong software development skills, including experience with AI/ML frameworks, APIs, and modern programming languages, are essential. Experience in consulting and presales, with the ability to gather requirements and communicate technical concepts to non-technical stakeholders, is also required. Additionally, candidates must have strong problem-solving abilities, analytical thinking, and attention to detail, with a focus on solution reliability and scalability. Nice-to-have skills include experience delivering AI or data-driven solutions in infrastructure, engineering, or related industries. The ability to work effectively in cross-disciplinary teams, manage multiple priorities, and communicate clearly in English is crucial. Additional languages are a plus. The role is based in Zug, Switzerland, and offers the opportunity to work on real-world problems where AI creates measurable impact, collaborate with driven colleagues, and contribute to making the built environment smarter and more sustainable. What the role asks for: - Bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related technical field. - Strong software development skills, including experience with AI/ML frameworks, APIs, and modern programming languages. - Consulting and Presales experience, with the ability to gather requirements, design solution architectures, and communicate technical concepts to non-technical stakeholders. - Strong problem-solving abilities, analytical thinking, and attention to detail, with a focus on solution reliability and scalability. - Ability to work effectively in cross-disciplinary teams, manage multiple priorities, and communicate clearly in English.