AI Architect

Roles & Responsibilities

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.

We are seeking a visionary and technically accomplished AI Architect to join our Digital team and lead the strategy, design, and delivery of advanced AI-driven solutions.This senior role is a unique opportunity for a passionate technologist 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, your work will drive innovation in automation and optimisation across multidisciplinary engineering domains.As a core member of our team, you will help shape the integration of AI into engineering workflows, collaborating across disciplines to deliver solutions that are scalable, reliable, and intuitive. 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:

• 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.]

Qualifications:

• 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.

Tell employers what skills you have

TensorFlow
Machine Learning
Revit
Cloud Computing
AutoCAD Civil 3D
Architect
Architectural
Stakeholder Engagement
Rhino
PyTorch
ArcGIS
Python
Data Architecture
Data Science
Consulting
Geospatial Data

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