AI Solution Engineer

SmartRecruiters, Inc.

Zug

Vor Ort

CHF 110.000 - 160.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

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.

Qualifikationen

  • Strong software development skills with AI/ML frameworks, APIs, and modern programming languages.
  • Consulting and presales experience 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.
  • Experience delivering AI or data-driven solutions in infrastructure, engineering, or related industries is an advantage.
  • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field.
  • Strong problem-solving abilities, analytical thinking, and attention to detail with focus on reliability and scalability.
  • Ability to work effectively in cross-disciplinary teams and communicate in English; additional languages are a plus.

Aufgaben

  • Design, develop, and implement AI-powered solutions that support infrastructure and engineering projects.
  • Translate requirements into scalable technical architectures.
  • Build and integrate AI models and software components; prepare demos and proofs of concept.
  • Collaborate with consulting and presales teams to shape solution proposals.
  • Support client-facing engagements by explaining AI capabilities in business terms.
  • Monitor solution performance and troubleshoot issues; contribute to best practices and documentation for AI adoption.

Kenntnisse

Software Development
AI/ML frameworks
APIs
Solution Architecture
Consulting & Presales
Client Engagement
Systems Integration
English Communication

Ausbildung

CS/Engineering/Data Science degree

Jobbeschreibung

  • 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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