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- Tasks: Design and implement AI solutions that shape the future of infrastructure.
- Company: Join AECOM, a global leader in infrastructure consulting.
- Benefits: Comprehensive benefits, flexible work options, and career growth opportunities.
- Other info: Collaborative culture focused on innovation and sustainability.
- Why this job: Make a real-world impact with cutting-edge AI technology.
- Qualifications: Master’s degree in relevant field and hands-on LLM experience.
The predicted salary is between 50000 - 70000 £ per year.
Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.
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.
What You’ll Do:
- As part of the Assurance & Insight team, you will focus on designing, implementing and deploying LLM-based solutions into production.
- Using various LLM models with latest approaches (agentic, context engineering) to solve challenging problems.
- Work end‑to‑end on ML solutions: from data preparation and evaluation, deployment, and monitoring.
- Develop text representation and semantic extraction pipelines for structured knowledge from unstructured data.
- Collaborate with product teams and domain experts to integrate LLM features into our SaaS platform.
Must-Have Qualifications:
- Master’s degree in Computer Science, Data Science, Computational Linguistics, or related field.
- Hands‑on experience with LLM techniques for text representation and semantic data extraction.
Preferred Skills:
- Understanding of optimizing both CPU-bound and GPU-bound workloads.
- Knowledge of monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack).
- Experience with Infrastructure as Code (Terraform).
- Experience with Azure.
- Experience with Machine Learning.
- Experience in building product for the construction industry.
Why Join Us?
- Work on real‑world problems where AI creates measurable impact.
- Be part of a team where your work matters, and your ideas become real.
- Collaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards.
- Contribute to making the built environment smarter and more sustainable.
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.
AECOM is a Disability Confident Employer and will offer an interview to applicants who have a disability or long‑term condition, who meet the minimum essential criteria for the role.
AI Engineer employer: AECOM
Contact Detail:
AECOM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to current AECOM employees on LinkedIn, join relevant groups, and attend industry events. Building connections can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the take-home challenge by brushing up on your LLM techniques. Get hands-on with projects that showcase your skills in text representation and semantic data extraction. Show us what you've got!
✨Tip Number 3
Practice makes perfect! Simulate the whiteboard interview by explaining your solutions to friends or mentors. This will help you articulate your thought process clearly and confidently during the actual interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our mission to deliver a better world.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with LLM techniques and any relevant projects you've worked on. We want to see how your skills align with our mission to deliver a better world!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Include specific examples of your hands-on experience with LLM models, data extraction, and any tools like Terraform or Azure. This is your chance to shine and show us what you can bring to the team.
Be Authentic: Let your personality come through in your application. We’re looking for bold ideas and big dreams, so don’t be afraid to express your passion for AI and infrastructure. We want to know what drives you and how you can contribute to our innovative culture.
Apply Through Our Website: Make it easy for us to find your application by applying directly through our website. It streamlines the process and ensures we get all the info we need to consider you for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at AECOM
✨Know Your LLMs
Make sure you brush up on your knowledge of LLM techniques, especially those related to text representation and semantic data extraction. Be ready to discuss specific models you've worked with and how they can be applied to real-world problems in infrastructure.
✨Showcase Your Problem-Solving Skills
During the take-home challenge, focus on demonstrating your problem-solving approach. Clearly outline your thought process and the steps you took to arrive at your solution. This will help interviewers see how you tackle complex challenges.
✨Prepare for Technical Discussions
Expect a whiteboard interview where you'll need to explain your solutions. Practice articulating your ideas clearly and concisely, as well as being able to justify your choices regarding algorithms and tools. This is your chance to shine!
✨Cultural Fit Matters
Don’t underestimate the importance of cultural fit. Research AECOM’s values and think about how your personal values align with theirs. Be prepared to share examples of how you've contributed to team success in previous roles.