AI Engineer

About the role

Join AECOM’s AI Engineering team and build AI‑driven solutions that directly shape infrastructure design and construction. You will work on large‑language‑model (LLM) based products that reduce waste, cut CO₂ emissions, and make the built environment more sustainable.

Key responsibilities

• Design, implement and deploy LLM‑based features into AECOM’s SaaS platform.
• Develop end‑to‑end machine‑learning pipelines, from data preparation and evaluation to deployment and monitoring.
• Create text‑representation and semantic extraction pipelines to turn unstructured data into structured knowledge.
• Collaborate with product teams, domain experts and the Assurance & Insight team to integrate AI capabilities.
• Maintain CI/CD pipelines and ensure reliable production operations.

Required profile

• Master’s degree in Computer Science, Data Science, Computational Linguistics or a related field.
• Hands‑on experience with LLM techniques for text representation and semantic extraction.
• Proven track record delivering end‑to‑end software solutions and CI/CD pipelines.
• Strong analytical mindset and ability to work autonomously in a fast‑paced environment.

Required skills

• Python programming.
• Pydantic validation.
• RAG (Retrieval‑Augmented Generation) systems and prompt engineering.
• Data processing and machine‑learning workflows.
• CI/CD pipeline development.
• Azure cloud services.
• Infrastructure as Code with Terraform.
• Monitoring tools such as Prometheus, Grafana and the Elastic stack.

What we offer

• Opportunity to work on real‑world AI projects with measurable impact.
• Access to AECOM’s global resources and engineering expertise.
• Collaborative culture focused on trust, ownership and high standards.
• Competitive benefits package.