AI Engineer

## About the role We are looking for innovative and motivated professionals to join our Digital team as AI Engineers / Machine Learning Engineers, supporting the development and deployment of advanced AI solutions. In this role, you will work closely with senior architects and cross-disciplinary teams to apply artificial intelligence, particularly large language models (LLMs) and machine learning (ML), to solve complex challenges in the built environment. From infrastructure systems to building design, you will contribute to the development of AI-enabled tools that enhance automation and optimisation across engineering workflows. This position requires hands-on expertise in Python programming, machine learning techniques, and experience with LLMs. You will play a vital role in implementing and maintaining scalable, reliable, and user-focused AI solutions. Join us in transforming how infrastructure is designed and delivered, through bringing cutting-edge technologies to address some of the most pressing challenges in our cities and communities. ## Responsibilities - Develop and fine-tune AI/ML models to ensure alignment with regulatory requirements and core engineering principles. - Leverage spatial data, 3D models, engineering constraints, and historical/analogue records to improve design accuracy, safety, and efficiency. - Combine rule-based logic and machine learning techniques to build robust scripts and scalable model training pipelines using Python. - Proficiency in Python and ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn), along with geospatial libraries (e.g., GeoPandas, Shapely, ArcPy, FME). - Develop and deploy AI tools into engineering workflows via APIs, dashboards, or custom plug-ins integrated with existing tools (e.g. ArcGIS, AutoCAD Civil 3D, Revit, Rhino). - Collaborate with civil engineers, utility specialists, and GIS/BIM specialists to translate infrastructure planning and design challenges into AI-powered solutions. ## Requirements - Hands-on expertise in Python programming. - Experience with machine learning techniques. - Experience with large language models (LLMs). - Proficiency in ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn). - Proficiency in geospatial libraries (e.g., GeoPandas, Shapely, ArcPy, FME). - Ability to develop and deploy AI tools into engineering workflows via APIs, dashboards, or custom plug-ins. - Ability to collaborate with cross-disciplinary teams. ## Nice to Have - Additional experience with specific tools like ArcGIS, AutoCAD Civil 3D, Revit, or Rhino. - Experience with infrastructure planning and design challenges. ## Benefits - Opportunity to work on cutting-edge AI technologies. - Collaborative environment with cross-disciplinary teams. - Impact on infrastructure design and delivery. - Professional growth and development.