AI Solution Engineer
On-siteLondon, England, United Kingdom
London, England, United KingdomOn-siteFull TimeMid LevelConstructionEnterprise
Full TimeMid LevelEnterpriseConstruction
Job Summary
Identify and shape AI opportunities across the business by assessing feasibility against technical capability, business value, and complexity. Design and build prototypes, demos, and MVPs to translate problems into structured approaches and PRDs. Collaborate with engineers, product managers, and domain experts to explore emerging AI models and tools while supporting the lifecycle from concept to production handover. Operate flexibly across demos, prototyping, and exploration, running demos, supporting operational challenges, exploring LLM capabilities, joining workshops, making discovery calls, and building PoCs.
Required Qualifications
- 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 good understanding of the idea-prototype-production lifecycle
- Experience translating ideas into structured approaches or prototypes, assess feasibility and communicate trade-offs
- All newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment
Desired Qualifications
- Experience working with senior stakeholders to shape solutions
- High-level understanding of cloud platforms, containers, and backend system
- Exposure to finance, operations, or commercial work
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