AI & Emerging technologies

AI Solution Engineer

AECOM

London · Greater London · United Kingdom

Overview

In this AI Engineering role, you shape AI applications for infrastructure and buildings, turning ideas into validated concepts and prototypes. You’ll balance technical feasibility with business value, collaborating across product, engineering, and domain experts. Drive AI opportunities from concept to production, building PoCs and MVPs while exploring cutting-edge models. Join a lean, technically focused team backed by a global engineering firm to deliver measurable, real-world impact.

Pay / Benefits
  • medical, dental, vision, life, AD&D, disability benefits
  • paid time off and leaves of absences
  • voluntary benefits and perks
  • flexible work options
  • well-being resources
  • employee assistance program
Responsibilities
  • Identify and shape 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 across demos, prototyping, and exploration
  • Run demos, support operational challenges, explore latest LLM capabilities, join workshops, make discovery calls, and build PoCs/MVPs
Key requirements
  • Degree in computer science, software engineering, innovation/entrepreneurship/technology or a related technical field or equivalent demonstrable experience
  • Background in AI, engineering, data, product or consulting
  • 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 understanding of the idea-prototype-production lifecycle
  • Experience translating ideas into structured approaches or prototypes, assessing feasibility and communicating trade-offs
  • Experience working with senior stakeholders to shape solutions
  • Collaborative mindset and ability to communicate trade-offs
  • Problem-solving and structured thinking
  • Python
  • Web frameworks
  • AI tooling (LLMs, APIs, MCPs, RAG systems)

Reference: WJ-747_31201118

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