AI Solution Engineer

AECOM
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Communication","Stakeholder management","Collaboration","Ownership"]

Build and validate AI solution concepts for AECOM’s AI Engineering team, turning business opportunities into feasibility assessments, prototypes, demos, and MVPs. Translate problems into structured approaches and PRDs, collaborate with engineers, product managers, and domain experts, and explore emerging LLM capabilities and AI tooling. Support the lifecycle from concept through production handover while operating flexibly across discovery, prototyping, and workshops.

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FursaFursa
AECOM
AECOM
3 days ago

AI Solution Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and validate AI solution concepts for AECOM’s AI Engineering team, turning business opportunities into feasibility assessments, prototypes, demos, and MVPs. Translate problems into structured approaches and PRDs, collaborate with engineers, product managers, and domain experts, and explore emerging LLM capabilities and AI tooling. Support the lifecycle from concept through production handover while operating flexibly across discovery, prototyping, and workshops.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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 across engineering, product, and domain experts to support lifecycle from concept to production handover.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsPaid LeaveRetirement SavingsEquityFlexible WorkTravel AllowancePerks

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 (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 a good grasp of the idea-prototype-production lifecycle.
  • •Experience translating ideas into structured approaches or prototypes, assessing feasibility, and communicating trade-offs.
Experience:AIEngineeringDataProductConsulting
Education:Bachelor's
Skills:Problem-solvingCommunicationStakeholder managementCollaborationOwnership
Languages:English
Tech Stack:AILLMsAPIsMCPsRAG systemsPythonWeb frameworksCloud platformsContainersBackend systemsPRDs

Company Brief

AECOM
AECOM is a global infrastructure firm providing design, consulting, construction, and management services across transportation, buildings, water, environment, and energy sectors, delivering large-scale projects for public- and private-sector clients worldwide.
Industry: Civil Engineering
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Angeles, United States
Founded: 1990
Glassdoor
Glassdoor: 3.6
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