AI Solution Engineer

AECO; Zug; On-site; CHF 120,000 - 170,000; Full time

Job summary

AECOM is seeking an AI Solution Engineer to join our Zug, Switzerland team. This full-time, on-site role designs, develops, and implements AI-powered solutions for infrastructure projects, translating requirements into scalable architectures and collaborating with project teams.

You will build and integrate AI models, create demonstrations, support presales activities, and help shape solution proposals while ensuring reliable, scalable deployments across client environments.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• Experience delivering AI or data-driven solutions in infrastructure, engineering, or related industries is an advantage.
• Strong software development skills 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.
• Sales and client engagement skills to support proposal development, demos, and solution presentations aligned with client needs.
• Integration experience, including connecting AI solutions with existing enterprise systems, data platforms, and engineering tools.
• Strong problem-solving abilities, analytical thinking, and attention to detail, with a focus on solution reliability and scalability.

Responsibilities

• Design, develop, and implement AI-powered solutions for infrastructure projects.
• Build and integrate AI models and software components.
• Prepare technical demonstrations and proofs of concept.
• Collaborate with consulting and presales teams to shape solution proposals.
• Explain AI capabilities in clear business terms for client engagements.
• Monitor solution performance and troubleshoot issues; contribute to documentation and best practices.

Skills

Software development

AI/ML frameworks

APIs

Modern programming languages

Consulting

Presales

Sales & client engagement

System integration

English communication

Education

Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field

Tools

Enterprise data platforms

Job description

• Legal Entity: AECOM Engineering Technology Services Ltd
• Business Line: Corporate
• Work Location Model: On-Site
• Operating Group: Corporate

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

• 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.
• Sales and client engagement skills to support proposal development, demos, and solution presentations aligned with client needs.
• Integration experience, including connecting AI solutions with existing enterprise systems, data platforms, and engineering tools.
• Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• Experience delivering AI or data-driven solutions in infrastructure, engineering, or related industries is an advantage.
• 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; additional languages are a plus.

Additional Information

Our Hiring Process

• Take-home challenge: A hands-on task to assess your problem-solving and technical skills
• Combined technical and cultural interview
  • Whiteboard Interview: 1-hour with 2 of our engineers to discuss your solution to the take-home challenge (60 min)
  • Culture fit: In-person meeting with our leadership team (30 min)

Why Join Us?

• Work on real-world problems where AI createsmeasurableimpact.
• Be part of a team where your work matters, and your ideas become real.
• Collaborate with sharp, driven colleagues in a culture of trust, ownership, andhigh standards.
• Contribute to making the built environment smarter and more sustainable.

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