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Mid-level niche AI role in metro locations with moderate brand and interdisciplinary requirements.
Requires deep AEC and building-performance domain knowledge, limiting cross-industry transferability.
Explicit 5-10 years plus mandatory building energy modelling and AI/BIM expertise required.
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Develop and implement AI and machine learning models to optimize building energy efficiency, carbon footprint, cost, and comfort in design workflows.
Conduct and calibrate building energy and carbon performance models using simulation tools and AI-enhanced methods.
Build and maintain data pipelines integrating diverse datasets and BIM platforms to support AI-driven design and predictive analytics for sustainable buildings.
5 to 10 years of experience in energy modelling, carbon analysis, or building performance simulation required.
Degree in Engineering, Building Science, Environmental Engineering, or Data Science.
Strong programming skills in Python and experience with machine learning frameworks (TensorFlow, PyTorch, or similar).
Experience with building energy modelling tools (e.g., EnergyPlus, IES VE) and familiarity with BIM platforms (e.g., Revit, Rhino).
Technical expertise combining AI/ML skills with deep knowledge of building physics, HVAC, and sustainability frameworks like LEED or BREEAM.
Experience working within AEC workflows and regulatory environments, translating complex AI outputs to practical engineering solutions.
Ability to collaborate across multidisciplinary teams and support client decision-making through data-driven insights and cost-benefit analysis of AI adoption.