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- Tasks: Shape the future with AI-driven tech that transforms infrastructure and buildings.
- Company: Join AECOM, a leading engineering firm with a start-up vibe.
- Benefits: Enjoy comprehensive benefits, flexible work options, and career growth opportunities.
- Other info: Dynamic role with diverse tasks and collaboration across teams.
- Why this job: Make a real-world impact while working on innovative AI solutions.
- Qualifications: Degree in tech or equivalent experience; passion for AI and prototyping.
The predicted salary is between 50000 - 70000 £ per year.
In AECOM’s AI Engineering team your code will directly shape the physical world around us. We build AI‑driven technology that revolutionises how infrastructure and buildings are designed and engineered; reducing waste, cutting CO₂, and making the built environment more efficient and sustainable. This is where software has measurable, real‑world impact.
With our AI Engineering team, we’ve created a unique setup: a lean, highly technical team with the speed and ownership of a start‑up, backed by the scale, resources, and domain expertise of one of the world’s leading engineering firms. We invite you to bring your bold ideas and big dreams to solve the world’s most complex challenges. Join us.
What You’ll Do
- As part of our AI Engineering team, you will operate at the intersection of technology, product, and business—shaping how AI is applied across all of AECOM.
- You will turn ideas into validated solution concepts, helping the organization understand what is possible, valuable, and feasible.
- 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 flexibly across demos, prototyping, and exploration.
As an AI Solution Engineer you might run a demo, support operational challenges, explore the latest LLM capabilities, join workshops, make discovery calls, and sometimes just spend a full day building PoCs and MVPs. No two days are the same.
Qualifications
- Must‑Have 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 (mindset matters more than title).
- Understanding of AI/LLM capabilities and limitations, and familiarity with AI tooling (LLMs, APIs, MPCs, 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.
- 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.
Benefits
AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well‑being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
EEO Statement
All your information will be kept confidential according to EEO guidelines.
AI Solution Engineer in London employer: AECO
Contact Detail:
AECO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and engineering fields, especially those at AECOM. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your prototypes, demos, and any relevant projects. This is your chance to demonstrate your understanding of AI capabilities and how you can apply them in real-world scenarios.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled challenges in the past and how you can contribute to AECOM's innovative projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the AECOM team.
We think you need these skills to ace AI Solution Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about using technology to make a real-world impact. Share any projects or experiences that highlight your passion and creativity in this field.
Tailor Your Application: Make sure to customise your application for the AI Solution Engineer role. Highlight relevant skills and experiences that align with what we’re looking for. This shows us that you’ve done your homework and understand what it takes to thrive in our team.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and fluff. Use bullet points where possible to make your key achievements stand out. Remember, we want to quickly grasp your qualifications!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at AECO
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI capabilities and limitations. Be ready to discuss how you've applied AI in past projects, and think about specific examples where you've turned ideas into prototypes or MVPs. This will show that you understand the technical side and can communicate it effectively.
✨Showcase Your Prototyping Skills
Prepare to talk about your experience with building prototypes using Python or web frameworks. Bring along any relevant projects or demos you've worked on, as this will give you a chance to demonstrate your hands-on skills and creativity in problem-solving.
✨Understand the Business Side
Since you'll be operating at the intersection of technology and business, it's crucial to understand how your technical solutions can add value. Think about how you've collaborated with stakeholders in the past and be ready to discuss how you assess feasibility and communicate trade-offs.
✨Be Ready for Flexibility
The role involves a variety of tasks from running demos to exploring new AI models. Prepare to discuss how you've adapted to changing priorities in previous roles. Highlight your ability to operate flexibly and your enthusiasm for tackling different challenges each day.