Chief Platform Architect BIM Automation

Job Title: Chief Platform Architect BIM Automation & AI Reporting To: Vice President Production & Delivery Location: India (Madurai / Durgapur / Jaipur) with domestic and international travel as required. Experience Required: - Minimum 5+ years in an AI/Automation leadership role (primary requirement and prioritized during screening). - Supported by 10+ years of overall experience in BIM, VDC, AEC technology delivery, digital engineering, or similar engineering platforms. Team Leadership: Lead and provide strategic direction to an existing R&D team of approximately 20 members. Educational Qualification: - B.E./B.Tech, M.Tech, Architecture, or equivalent qualification in AEC/BIM. - Certifications in BIM, Revit, Autodesk Construction Cloud, ISO 19650, or AI/Automation will be an added advantage. About the Client Our Client is a global leader in BIM (Building Information Modeling) and AEC (Architecture, Engineering & Construction) technology services, partnering with leading EPC, construction, and design firms across North America, Europe, the Middle East, and Asia. The organization delivers advanced BIM, digital construction, and technology-enabled solutions that improve project efficiency, collaboration, cost control, and digital transformation across the construction lifecycle. Role Overview The Chief Platform Architect BIM Automation & AI will lead the organization's platform strategy at the intersection of AI-driven automation, BIM engineering, and Virtual Design & Construction (VDC). The ideal candidate should possess: - Minimum 5+ years of hands-on leadership in AI, automation, scripting, digital transformation, or workflow automation. - 10+ years of overall experience in BIM/VDC or AEC technology. - Strong exposure to Autodesk/BIM/3D modeling platforms. - Proven ability to automate BIM workflows. - Working understanding of Architecture, Structural, MEP, and Construction Coordination workflows. The successful candidate will lead an existing team of approximately 20 R&D professionals while driving platform innovation, BIM production intelligence, and enterprise-scale automation initiatives. Key Responsibilities 1. Platform Strategy & BIM Productization - Define the vision, roadmap, and operating model for the Client's BIM engineering platform. - Transform repetitive BIM engineering workflows into scalable platform capabilities. - Identify high-impact automation opportunities across: - Design coordination - Model authoring - Clash management - Quantity extraction - Constructability review - Drawing automation - Translate business and delivery requirements into platform capabilities and measurable productivity improvements. 2. BIM Engineering Leadership - Define BIM standards, templates, families, LOD/LOI requirements, QA/QC processes, and model health standards. - Ensure platform capabilities align with real production workflows across Architecture, Structural, MEP, and Construction disciplines. - Standardize BIM execution processes across geographies and client engagements. 3. AI, Automation & Digital Transformation - Lead enterprise automation initiatives using: - Artificial Intelligence - Rule-based automation - BIM APIs - Scripting - Workflow engines - Data models - Develop AI-assisted solutions for: - Model validation - Drawing quality checks - Quantity take-off - Design rule compliance - Productivity analytics - Evaluate emerging technologies including: - Generative AI - Computer Vision - Digital Twins - BIM Data Lakes - Model Intelligence - Establish governance around: - Responsible AI - Data quality - Model reliability - Data privacy - Ethical AI - Develop an Ethical AI Framework for AI tools trained on client project data. - Ensure AI initiatives comply with ISO 19650 and applicable regulatory standards. Production Automation Priorities Modeling Automation - Parametric family creation - Automated model setup - Template-driven project initialization - Dynamo & Revit API automation Shop Drawing Automation - Automated sheet generation - View creation - Annotation - Dimensioning automation Coordination & Clash Detection - Automated clash reporting - BCF issue management - Resolution dashboards Quantity Take-Off - Automated QTO - Schedule extraction - ERP integration Drawing Quality Checks - Rule-based QA/QC - Drawing standards verification - Naming conventions - LOD compliance AI-Assisted Design Review - Computer vision for anomaly detection - Generative design evaluation Productivity Analytics - Automated BPMS and ProHance analytics - Efficiency reporting - Bottleneck identification - Resource utilization dashboards 4. Team Leadership & R&D Management - Lead and mentor approximately 20 R&D professionals. - Define team structure and performance objectives. - Drive innovation and experimentation. - Manage the Proof-of-Concept (POC) to Production lifecycle. - Align platform development with production delivery priorities. 5. Cross-Functional Collaboration - Collaborate with Delivery, Product .