Senior Software Engineer

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 h 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.

In AECOM’s AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered; reducing waste, cutting CO₂, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact.

With our AI Engineering team we’ve created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed by the scale, resources, and domain expertise of one of the world’s leading engineering firms. Our innovation hubs in London, Oslo and Zug bring different perspectives, disciplines, and ways of thinking into the same room, because the hardest engineering problems demand it.

The role is a full-time, on-site position based in Zug, Switzerland.

As a Senior Software Engineer, you’ll build the production software that powers AECOM’s AI-driven engineering products, working across backend systems, platform engineering and machine learning systems.

Strong software engineering fundamentals, ownership of meaningful production systems and depth in one area matter more than matching every technology in our stack.

You’ll design and build backend services, APIs and data flows; evolve system architecture; and make sound trade-offs in areas such as database design, schema evolution, scalability and performance. You’ll own substantial work from problem definition and design through implementation, deployment and ongoing production support, improving reliability and resolving difficult issues along the way.

Working closely with software and ML engineers, product teams and engineering-domain experts, you’ll help turn research into reliable, production-ready tools. Depending on your background, this may include integrating models into products, building deployment and monitoring capabilities, or optimising AI workloads. Previous professional AI/ML experience is valuable, but is not required for every hire.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong hands-on Python programming skills and experience building production backend services, APIs or other substantial software applications. Familiarity with frameworks such as FastAPI, Flask or Django is useful.
• Demonstrated ownership of technically challenging production systems, from design and implementation through deployment and ongoing improvement. You can explain your personal contribution, key decisions and the outcomes delivered.
• Strong system design and engineering judgement, with experience making practical trade-offs around architecture, data models, reliability, scalability or performance, and diagnosing difficult production…