AI Automation Chief Platform Architect

Location: Durgapur, West Bengal, India
Department: Data & AI
Compensation: INR 2500000 - 3000000 per year

Experience: 12–18 yrs

Immediate Opportunity

For Multiple - Locations - India (Madurai / Durgapur / Jaipur) – with domestic and international travel as required

Reporting To: Vice President – Production & Delivery

Minimum 5+ years in an AI/Automation leadership role (primary requirement, prioritised in screening), supported by 10+ years overall experience in BIM/VDC/AEC technology delivery or similar engineering platforms

Will lead and provide strategic direction to an existing team of approximately 20 R&D members

B.E./B.Tech, M.Tech, Architecture, or equivalent AEC/BIM qualification. Certifications in BIM, Revit, Autodesk Construction Cloud, ISO 19650, or AI/Automation disciplines will be an advantage

Key Responsibilities 1. Platform Strategy & BIM Productization • Define the vision, roadmap, and operating model for Pinnacle’s PiVDC / BIM Engineering Construction platform. • Convert repetitive BIM engineering workflows into standardised, scalable, and technology enabled platform capabilities. • Identify high-impact use cases across design coordination, model authoring, clash management, quantity extraction, constructability review, and drawing automation. • Translate business and delivery needs into platform features, automation priorities, and measurable productivity outcomes. 2. BIM Engineering & Revit Domain Leadership • Guide teams on BIM standards, templates, families, LOD/LOI requirements, model health, QA/QC, and project setup best practices. • Ensure platform solutions remain grounded in real production workflows for architecture, structure, MEP, and construction coordination. • Drive standardisation of BIM execution processes across geographies, client types, and project typologies. 3. AI, Automation & Digital Transformation • Lead automation initiatives using AI, rule-based automation, scripts, APIs, data models, and workflow engines to improve BIM delivery speed and accuracy. • Work with technology teams to build AI-assisted tools for model validation, drawing checks, quantity take-off, issue detection, design-rule compliance, and productivity analytics. • Evaluate emerging technologies including generative AI, computer vision, digital twins, BIM data lakes, and model intelligence for practical enterprise adoption. • Define governance for AI usage, data quality, model reliability, responsible automation, data privacy, and ethical AI practices within BIM workflows. • Establish an Ethical AI Framework governing the use of AI tools trained on client project data, ensuring auditability, model reliability, and compliance with data privacy protocols. • Ensure alignment of all AI/automation initiatives with ISO 19650 information management standards and applicable regulatory requirements. Production-Specific Automation Use Cases to prioritise: ○ Modelling Automation: Parametric family creation, automated model setup, template-driven project initialisation via Dynamo / Revit API ○ Shop Drawing Production: Automated sheet generation, view creation, annotation, and dimensioning routines to accelerate drawing deliverables ○ Coordination & Clash Detection: Automated clash reporting workflows, BCF issue management integration, and resolution tracking dashboards ○ Quantity Take-Off (QTO): Model-based automated QTO, schedule extraction, and integration with estimation or ERP tools ○ Drawing Quality Checks: Rule-based automated QC for drawing standards, layer/naming conventions, and LOD compliance verification ○ AI-Assisted Design Review: Computer vision for drawing anomaly detection and generative design option evaluation ○ Productivity Analytics: Automated parsing of BPMS and ProHance data for efficiency reporting, bottleneck identification, and resource utilisation dashboards 4. Team Leadership & R&D Management • Lead, mentor, and provide strategic direction to an existing team of approximately 20 R&D members comprising BIM technologists, automation developers, and digital delivery specialists. • Define team structure, work allocation, performance objectives, and professional development pathways for R&D personnel. • Foster a culture of innovation, experimentation, and disciplined delivery within the R&D team. • Oversee the Proof-of-Concept (POC) to Production pipeline — governing the transition of validated tools and automation solutions into live production workflows. • Collaborate with the Pi-VDC team to align platform development priorities with production delivery requirements. 5. Cross-functional Collaboration • Collaborate closely with delivery heads, project managers, software engineering, data/AI teams, sales, and client success teams. • Bridge the gap between BIM operations and technology teams by translating domain problems into clear functional requirements. • Support client demonstrations, solutioning, proposals, and strategic discussions where BIM platform capability is a competitive differentiator. • Represent Pinnacle at industry events, BIM conferences, and thought leadership forums to strengthen brand visibility in the digital transformation space. 6. Internal Systems Integration • Own the data architecture connecting production tools (BPMS, ProHance, PiVDC) to analytics pipelines and AI models. • Ensure seamless integration of automation outputs with BPMS for real-time performance tracking and KPI reporting. • Leverage ProHance productivity data to identify workflow inefficiencies and prioritise automation interventions. • Collaborate with IT and product teams to ensure platform tools are fully integrated with existing ERP, project management, and estimation systems. 7. Governance, Quality & Business Impact • Define metrics for productivity, quality, rework reduction, delivery predictability, and automation adoption. • Create SOPs, playbooks, knowledge repositories, and QA frameworks for platform-enabled BIM delivery. • Continuously review delivery data to identify process bottlenecks and opportunities for automation or standardisation. • Ensure the platform improves client value through speed, accuracy, constructability, and measurable cost/time savings. • Lead technology scouting and vendor evaluation (Autodesk, Bentley, and emerging AI vendors) to maintain competitive platform relevance. 8. Estimation Support • Provide technical inputs to support high-value project estimation using platform-derived productivity benchmarks and historical delivery data. • Participate in estimation reviews for Mega Projects in collaboration with the Technical Head and Production Centre Head.

10+ years in BIM/VDC, digital engineering, or AEC technology delivery; with leadership responsibility in recent roles

Prioritised criterion. Minimum 5+ Years of hands-on leadership in automation and AI-enabled workflows (scripting, BIM APIs, rule-based/AI automation, or technology transformation in AEC). Demonstrated ability to automate existing BIM workflows is essential.

Demonstrated ability to lead, mentor, and develop high-performing R&D or technology teams (direct team of ~20 members)

Exposure to Autodesk / BIM / 3D modelling tools (e.g., Revit, Navisworks) or similar engineering platforms, with a working understanding of BIM production workflows across architecture, structure, MEP, or construction coordination,

Preferred Qualifications & Added Advantage • Experience with Autodesk Revit, Navisworks, Dynamo, BIM 360 / Autodesk Construction Cloud, Revit API, Python, Power BI, SQL, or similar tools • Exposure to ISO 19650, BIM Execution Planning, digital twin concepts, model-based estimation, construction sequencing, or project controls integration • Experience building internal tools, automation accelerators, plug-ins, or platform-led delivery frameworks for BIM teams • Prior experience in a global AEC/BIM services organisation will be strongly preferred • Certifications: PMP, LEED AP, or BIM Manager Certification from a recognised industry body

Why Join Us:

Lead a strategic, high-impact platform role for a global AEC technology and BIM leader • Opportunity to shape the future of AI-led BIM engineering and construction automation at enterprise scale • Work with global clients and multidisciplinary teams on complex, iconic construction projects • Build enterprise-level digital capabilities that directly improve delivery productivity and client value • Lead and grow a dedicated R&D team with a clear mandate to drive organisation-wide digital transformation

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