Senior Engineer–AI Sustainable building design

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-efficient, low-carbon buildings and infrastructure.

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. 6. AI Strategy, Market Research & Cost-Benefit Analysis Support client engagements by assessing emerging AI platforms, tools, and technologies relevant to the built environment and sustainability Conduct structured technology benchmarking and market scans (e.g. generative design tools, digital twins, energy optimisation platforms) Evaluate technical feasibility, implementation requirements, and integration considerations within existing design and asset workflows Develop cost-benefit analyses and business cases for AI adoption Translate technical assessments into clear, client-ready insights and recommendations, supporting decision-making at project and portfolio level. Strong programming skills (Python preferred) for AI/ML development. Experience with machine learning frameworks (TensorFlow, PyTorch, or similar). Knowledge of building energy modelling tools (e.g., EnergyPlus, IES VE). Familiarity with BIM platforms and digital design tools (e.g., Revit, Rhino). Understanding of MLOps, data pipelines, and model deployment. Key Skills & Competencies Technical Skills Domain Knowledge Building physics, HVAC systems, and energy performance analysis. Lifecycle carbon assessment and sustainability frameworks (e.g., LEED, BREEAM). Understanding of AEC workflows, design processes, and regulatory environments . Soft Skills Strong analytical and problem-solving capability. Ability to communicate complex technical outputs to non-AI stakeholders. Collaborative mindset for multidisciplinary project environments.

Degree in Engineering, Building Science, Environmental Engineering, or Data Science. 5 to 10 years’ experience in energy modelling, carbon analysis, or building performance simulation. Experience in AI/ML applied to buildings, energy systems, or sustainability is desirable. Key Outcomes / Deliverables AI-driven design tools and models integrated into engineering workflows Energy and carbon performance assessments supporting low-carbon design Optimized building designs balancing sustainability, cost, and constructability Data-driven insights informing client decisions and regulatory submissions. BGV: Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India. Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner”.