
AI Architect
- Singapore
- Permanent
- Full-time
- Design robust, scalable AI/ML architectures, including model pipelines, data ingestion, and deployment frameworks tailored to infrastructure projects.
- Define and drive the AI roadmap for infrastructure planning and design applications, aligning with AECOM digital delivery goals and client needs.
- Guide the development and fine-tuning of AI models to ensure alignment with regulatory requirements and core engineering principles.
- Develop robust scripts and scalable model training pipelines using Python.
- Lead the integration of AI tools with existing engineering tools (e.g. ArcGIS, AutoCAD Civil 3D, Revit, Rhino, FME), ensuring seamless interoperability and user adoption.
- Mentor AI engineers and collaborate with civil engineers, utility specialists, and GIS/BIM specialists to bridge domain knowledge with AI capabilities.
- Establish best practices for model validation, versioning, explainability, and compliance with relevant engineering and data standards.
- Evaluate and introduce emerging AI technologies (e.g., LLMs, generative design, reinforcement learning) applicable to geospatial and infrastructure challenges.
- Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Artificial Intelligence, or a related engineering discipline. Candidates with advanced degrees (Master’s or PhD) are preferred.
- 8+ years of experience in AI/ML development, with at least 3 years in an AI/ML architectural or leadership role.
- Proven experience in applying AI to solve real-world problems, preferably in domains such as spatial/geometric analysis, geospatial data, or engineering applications.
- Proficiency in Python and ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
- Strong understanding of data architecture, MLOps pipelines, cloud computing (Azure/GCP/AWS), and model governance practices.
- Excellent communication and stakeholder engagement skills, with the ability to influence both technical and non-technical stakeholders.