Bażiku
AI Engineer
Ippubblikat: 07.05.2026
Data tal-għeluq: 02.07.2026
Referenza tax-xogħol: 9b4818a354f59f467f378c1c3db17a2e
Informazzjoni dwar ix-xogħol
Post
London, United Kingdom
Kumpanija
Aecom
Klijent / Impjegatur
AECOM
Referenza tax-xogħol
9b4818a354f59f467f378c1c3db17a2e
Tip ta' lista
Bażiku
Permess tax-xogħol tal-UE meħtieġ
Le
Ippubblikat
07.05.2026
Data tal-għeluq
02.07.2026
Deskrizzjoni tax-xogħol
**Company Description** **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. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. **Job Description** 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. There has never been a better time to be at AECOM. We are leading the industry’s AI transformation, and with our people and technology we deliver excellence and innovate with impact. We invite you to bring your bold ideas and big dreams to solve the world’s most complex challenges. We're one global team driven by our common purpose to deliver a better world. Join us. 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 **Qualifications** **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 + Knowledge on best practices and Evaluation techniques + Proven experience working end-to-end on Software solutions and CI/CD Pipelines + Proficiency in Python and pydantic validation + Experience building RAG systems, Prompt engineering, Data processing **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. **Additional Information** **Our Hiring Process** + 25-minute screening call + Take-home challenge: A hands-on task to assess your problem-solving and technical skills + Combined technical and cultural interview (in-person) + Whiteboard Interview: 1-hour with 2 of our engineers to discuss your solution to the take-home challenge (60 min) + Culture fit: In-person meeting with our leadership team (30 min) **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. **About AECOM** 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 the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle — from advisory, planning, design and engineering to program and construction management. AECOM is a _Fortune 500_ firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com. **What makes AECOM a great place to work** You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects—both in your local community and on a global scale—that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community—where you have the freedom to grow in a world of opportunity. We are 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. Please let us know using this email address [email protected] if you would like to apply through the Disability Confident Interview Scheme. All your information will be kept confidential according to EEO guidelines. **ReqID:** J10151464 **Business Line:** Corporate **Business Group:** Corporate **Strategic Business Unit:** AI Engineering **Career Area:** Digital & Engineering Technology **Work Location Model:** On-Site
Ħiliet
Agile Project Management
Algorithms
analyse big data
analyse business requirements
apply ICT systems theory
apply systemic design thinking
Artificial Neural Networks
Assembly (computer programming)
assess ICT knowledge
build business relationships
build predictive models
build recommender systems
Business Analytics
Business Intelligence
business process modelling
C
COBOL
CoffeeScript
Common Lisp
computer programming
Computer Simulation
Computer Vision
create data sets
creatively use digital technologies
Data Mining
Data Models
Data Science
database development tools
Deep Learning
define technical requirements
deliver visual presentation of data
design application interfaces
design database scheme
design process
develop creative ideas
develop statistical software
digital data processing
Erlang
Groovy
Haskell
ICT project management methodologies
identify processes for re-engineering
Information Architecture
information categorisation
Information Extraction
information structure
Java (computer programming)
JavaScript
lean project management
LINQ
Lisp
manage business knowledge
manage ICT data classification
manage ICT semantic integration
Matlab
Microsoft Visual C++
ML (computer programming)
N1QL
Objective-C
OpenEdge Advanced Business Language
operational research
Pascal (computer programming)
perform dimensionality reduction
Perl
PHP
principles of artificial intelligence
Process-based management
Prolog (computer programming)
Python (computer programming)
R
resource description framework query language
Ruby (computer programming)
SAP R3
SAS language
Scala
Scratch (computer programming)
Smalltalk (computer programming)
SPARQL
Swift (computer programming)
systems development life-cycle
task algorithmisation
TypeScript
Unstructured Data
use data processing techniques
utilise machine learning
VBScript
Visual Basic
visual presentation techniques