Chief Platform Architect – BIM Automation & AI

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.

1. 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.

1. 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

1. 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.

1. Cross-Functional Collaboration

Collaborate with Delivery, Product, Engineering, AI, Sales, and Client Success teams.

Translate BIM operational challenges into technology solutions.

Support client demonstrations, proposals, and solutioning.

Represent the Client at industry conferences and technology forums.

1. Internal Systems Integration

Own data architecture connecting production systems including BPMS, ProHance, and BIM platforms.

Integrate automation outputs into enterprise reporting.

Leverage productivity data to prioritize automation opportunities.

Ensure integration with ERP, estimation, and project management systems.

1. Governance, Quality & Business Impact

Define KPIs around:

Productivity

Quality

Rework reduction

Automation adoption

Delivery predictability

Develop SOPs, playbooks, QA frameworks, and knowledge repositories.

Continuously analyze delivery data for optimization opportunities.

Improve client outcomes through faster, higher-quality BIM delivery.

Evaluate emerging BIM, Autodesk, Bentley, and AI technologies.

1. Estimation Support

Support high-value project estimation using historical productivity benchmarks.

Participate in estimation reviews for major projects alongside Technical and Production leadership.

Candidate ProfileExperience

10+ years in BIM, VDC, Digital Engineering, or AEC technology delivery.

Leadership responsibility in recent roles.

AI & Automation (Highest Priority)

Minimum 5+ years leading AI-enabled automation initiatives.

Strong experience with:

BIM APIs

Scripting

Rule-based automation

Workflow automation

Technology transformation

Demonstrated success in automating BIM workflows is mandatory.

Team Leadership

Proven experience leading, mentoring, and developing high-performing R&D or technology teams of approximately 20 members.

BIM & Engineering Tools

Hands-on exposure to Autodesk/BIM/3D modeling tools such as:

Autodesk Revit

Navisworks

Similar engineering platforms

Working knowledge of BIM workflows across:

Architecture

Structural

MEP

Construction Coordination

Communication

Excellent executive communication.

Strong stakeholder management.

Client-facing consulting and solutioning experience.

Preferred Skills

Experience with:

Autodesk Revit

Navisworks

Dynamo

Autodesk Construction Cloud (BIM 360)

Revit API

Python

SQL

Power BI

Knowledge of:

ISO 19650

BIM Execution Planning

Digital Twins

Model-based Estimation

Construction Sequencing

Project Controls Integration

Additional advantages:

Experience developing BIM automation tools, plugins, or internal platforms.

Prior experience in global AEC/BIM organizations.

Certifications such as PMP, LEED AP, or BIM Manager.

Why Join the Client?

Lead enterprise-scale BIM platform transformation.

Drive AI-powered digital innovation in the construction industry.

Work with global clients on complex engineering projects.

Build enterprise-grade automation capabilities that improve productivity and client outcomes.

Lead and grow an established R&D organization focused on next-generation BIM technologies.