Description
WSP is looking for Candidate who should hold experience minimum of 5 to 10 years in energy modelling, carbon analysis, or building performance simulation. To partner as an AI Engineer (Built Environment / Sustainability) to develop and apply advanced artificial intelligence techniques to support the design of energy-effective, low-carbon buildings and infrastructure.
Responsibilities
1. AI-Driven Design & Optimization
- Develop and implement machine learning and generative AI models to optimize building layouts, systems, and materials.
- Apply AI techniques (e.g., generative design, optimization algorithms) to evaluate multiple design options rapidly.
- Build multi-objective optimization models considering energy efficiency, carbon, cost, and comfort.
2. Building Energy & Carbon Modelling
- Develop and calibrate building energy models using simulation tools and AI-enhanced approaches.
- Conduct operational and embodied carbon assessments for buildings and infrastructure.
- Analyse energy consumption and identify strategies to improve performance and efficiency.
3.
Data Engineering & Integration
- Collect, clean, and integrate diverse datasets (climate, material, energy use, geospatial).
- Develop data pipelines to support AI/ML workflows and simulation models.
- Integrate AI models into BIM platforms (e.g., Revit, Rhino/Grasshopper) and digital design tools.
4. Performance Simulation & Predictive Analytics
- Develop predictive models for building performance (thermal, energy, daylight, ventilation).
- Use AI to simulate real-world conditions (weather, occupancy, operational patterns).
- Validate model outputs against real-world or simulated performance data.
5. Collaboration & Project Delivery
- Work closely with architects, building services engineers, planners, and sustainability consultants.
- Translate AI outputs into practical, code-compliant engineering solutions.
- Contribute to design reports, technical submissions, and client deliverables.
📌 Senior Engineer–AI Sustainable building design (Noida)
🏢 Wsp
📍 Noida