Chief Platform Architect BIM Automation

Zealant Consulting Group; Durgapur; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Domestic and international travel

Job summary

Zealant Consulting Group is seeking a Chief Platform Architect BIM Automation & AI to lead the platform strategy at the intersection of AI-driven automation and BIM engineering. You will drive enterprise-scale automation initiatives and coordinate with cross-functional teams across architecture, structural, MEP, and construction domains.

The ideal candidate has 5+ years of hands-on AI/automation leadership and 10+ years in BIM/VDC, with strong exposure to Autodesk platforms and BIM workflows.

Qualifications

• Minimum 5+ years in an AI/Automation leadership role.
• 10+ years in BIM, VDC, AEC technology delivery or related field.
• Exposure to Autodesk/BIM/3D modeling platforms.
• Ability to automate BIM workflows.
• Understanding of Architecture, Structural, MEP and coordination workflows.

Responsibilities

• Platform Strategy & BIM productization: define vision, roadmap and operating model.
• Transform repetitive BIM workflows into scalable platform capabilities.
• Lead enterprise automation initiatives using AI, scripting and workflow engines.
• Develop AI-assisted solutions for model validation and quality checks.
• Establish governance around responsible AI, data quality and privacy.
• Lead and mentor ~20 R&D professionals and align with production priorities.

Skills

AI leadership

BIM/VDC leadership

Team leadership

Strategic direction

Education

B.E./B.Tech, M.Tech, Architecture or equivalent in AEC/BIM

Certifications in BIM, Revit, Autodesk Construction Cloud, ISO 19650 or AI/Automation

Tools

Revit

Autodesk Construction Cloud

BIM APIs

Dynamo

Job description

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 enginesData models
4. Develop AI‑assisted solutions for:
   • Model validation
   • Drawing quality checks
   • Quantity take‑off
   • Design rule compliance
   • Productivity analytics
5. Evaluate emerging technologies including:
   • Generative AI
   • Computer Vision
   • Digital Twins
   • BIM Data Lakes
   • Model Intelligence
6. Establish governance around:
   • Responsible AI
   • Data quality
   • Model reliability
   • Data privacy
   • Ethical AI
7. Develop an Ethical AI Framework for AI tools trained on client project data.
8. 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

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.

Cross-Functional Collaboration - Collaborate with Delivery, Product .