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- Tasks: Shape the future with AI-driven tech in infrastructure and building design.
- 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 exploring cutting-edge AI technologies.
- 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
- Operate at the intersection of technology, product, and business—shaping how AI is applied across all of AECOM.
- 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.
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.
Preferred Skills
- 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 employer: AECOM
Contact Detail:
AECOM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Engineer
✨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 give you a heads-up about job openings or even 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 problem-solving skills. Be ready to discuss how you would approach translating complex ideas into structured solutions. Practice explaining your thought process clearly and concisely.
✨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 and making an impact in the AI space.
We think you need these skills to ace AI Solution Engineer
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 for AI and innovation.
Tailor Your Application: Make sure to customise your application to fit the role of AI Solution Engineer. Highlight your relevant skills and experiences that align with the job description. We love seeing candidates who take the time to connect their background with what we do at AECOM.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and long-winded explanations. Use bullet points where possible to make it easy for us to see your key achievements and skills.
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 helps us keep everything organised on our end!
How to prepare for a job interview at AECOM
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI capabilities and limitations. Be ready to discuss how you've used AI tools in the past, like LLMs or APIs, and how they can be applied to real-world problems. This will show that you understand the technical side of things and can contribute meaningfully.
✨Prototype Like a Pro
Since you'll be expected to design and build prototypes, come prepared with examples of your previous work. Bring along any demos or MVPs you've created, and be ready to explain your thought process behind them. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
You’ll need to collaborate with engineers and product managers, so practice articulating your ideas clearly. Think about how you can translate complex technical concepts into structured approaches. Being able to communicate trade-offs effectively will set you apart from other candidates.
✨Show Your Flexibility
The role involves a variety of tasks, from running demos to exploring new AI models. Be ready to discuss how you've adapted to changing priorities in the past. Highlight your ability to operate flexibly and tackle different challenges, as this is key to thriving in a dynamic environment like AECOM.