AI Engineer

Description

At AECOM, we're delivering a better world. In AECOM's AI for 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 for 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. We are leading the industry's AI transformation, and with our people and technology we deliver excellence and innovate with impact. We invite you to bring your bold ideas and big dreams to solve the world's most complex challenges. We're one global team driven by our common purpose to deliver a better world. Join us.

Responsibilities

As part of the Zug team, you will focus on:

• Designing, implementing and deploying LLM based solutions into production.
• Using various LLM models with latest approaches (agentic, context engineering) to solve challenging problems.
• Work end-to-end on ML solutions: from data preparation and evaluation, deployment, and monitoring.
• Develop text representation and semantic extraction pipelines for structured knowledge from unstructured data.
• Collaborate with product teams and domain experts to integrate LLM features into our SaaS platform.

Qualifications

Must-Have Qualifications

• Master's degree in Computer Science, Data Science, Computational Linguistics, or related field.
• Hands-on experience with LLM techniques for text representation and semantic data extraction.
• Knowledge on best practices and Evaluation techniques.
• Proven experience working end-to-end on Software solutions and CI/CD Pipelines.
• Proficiency in Python and pydantic validation.
• Experience building RAG systems, Prompt engineering, Data processing.

Preferred Skills

• Understanding of optimizing both CPU-bound and GPU-bound workloads.
• Knowledge of monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack).
• Experience with Infrastructure as Code (Terraform).
• Experience with Azure.
• Experience with Machine Learning.
• Experience in building product for the construction industry.

Benefits

• Work on real-world problems where AI creates measurable impact.
• 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, and high standards.
• Contribute to making the built environment smarter and more sustainable.
• Comprehensive benefits to meet the diverse needs of our employees, depending on employment status, may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
• You will be part of a global team that champions your growth and career ambitions.
• Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future.
• With cutting-edge technology and a network of experts, you'll have the resources to make a real impact.
• Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you've always envisioned.
• Here, you'll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.