Senior Software Engineer

• Design and build services, evolve system architecture, and improve reliability of AI-driven infrastructure engineering platforms.
• Deploy, monitor, and optimize machine learning models in production, ensuring they run reliably and at scale.
• Collaborate across platform engineering and ML systems to turn research into production-ready tools.

This role directly reduces waste and CO₂ emissions by building AI-driven technology that makes infrastructure and building design more efficient and sustainable, creating measurable real-world environmental impact.

• Strong software engineering fundamentals with depth in platform engineering or ML systems.
• Proficiency in Python and solid software engineering practices.
• Experience with database design, schema evolution, and system architecture trade-offs.
• Ability to deploy, monitor, and optimize AI workloads.

Compensation and perks not specified. Join a lean, highly technical team with the speed of a startup backed by the scale and resources of a global engineering firm.

AECOM is a leading global engineering firm driving AI transformation in infrastructure and building design, with a common purpose to deliver a better world.