AI Solutions Engineer — Prototyping & MVPs

AECOM Careers and Employment; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

AECOM’s AI Engineering team is shaping the future of infrastructure with AI-driven software that reduces waste, lowers CO₂, and improves efficiency. You’ll join a lean, technically focused team backed by a global engineering firm, delivering real-world impact through fast prototyping and production-ready solutions.

You will collaborate with engineers, product managers, and domain experts to turn ideas into validated concepts, explore new AI models, and drive the lifecycle from discovery to

Qualifications

• Degree in computer science, software engineering, innovation/entrepreneurship/technology or related field
• Background in AI, engineering, data, product or consulting (mindset matters more than title)
• Understanding of AI/LLM capabilities and limitations, and familiarity with AI tooling (LLMs, APIs, MCPs, RAG systems)
• Ability to build prototypes using Python, web frameworks and similar tools, with good understanding of the idea-prototype-production lifecycle
• Experience translating ideas into structured approaches or prototypes, assess feasibility and communicate trade-offs

Responsibilities

• Identify AI opportunities across the business
• Assess feasibility by balancing technical capability, business value, and complexity
• Design and build prototypes, demos, and MVPs
• Translate problems into structured approaches and PRDs
• Collaborate with engineers, product managers, and domain experts
• Explore emerging AI models and tools
• Support the lifecycle from concept to production handover
• Operate flexibly across demos, prototyping, and exploration

Skills

Python

AI/ML concepts

Prototype development

Stakeholder communication

Cloud platforms

Education

Bachelor's degree in CS/Engineering

Tools

APIs

LLMs

Docker

Kubernetes

Job description

AECOM’s AI Engineering team is shaping the future of infrastructure with AI-driven software that reduces waste, lowers CO₂, and improves efficiency. You’ll join a lean, technically focused team backed by a global engineering firm, delivering real-world impact through fast prototyping and production-ready solutions.

You will collaborate with engineers, product managers, and domain experts to turn ideas into validated concepts, explore new AI models, and drive the lifecycle from discovery to