BIM (Building Information Modeling) Specialist

Zohorecruit

Dubai

On-site

AED 223,200 - 312,480

Full time

14 days+
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Job summary

A leading recruitment firm is seeking a BIM Specialist to spearhead the implementation of BIM processes in a design firm located in Dubai. This role emphasizes the use of advanced AI technologies and automation tools for creating and maintaining data-driven BIM models. The ideal candidate will ensure compliance with international standards and promote collaboration across teams. Successful applicants should have a degree in relevant fields and 5-10 years of experience in BIM modelling, ideally with a focus on AEC projects and AI-enhanced workflows.

Qualifications

  • 5-10 years of experience in BIM modelling or related roles within the AEC industry.
  • Proven experience implementing BIM on medium to large-scale AEC projects.
  • Exposure to UAE DM BIM regulations and local regulatory standards preferred.

Responsibilities

  • Develop high-quality BIM models for architectural and engineering projects.
  • Utilize AI-driven tools for predictive modelling and design optimization.
  • Ensure compliance with international BIM standards and UAE DM regulations.
  • Leverage automation to streamline workflows and optimize design processes.

Skills

Revit
Navisworks
Dynamo
Python
AI tools for AEC
BIM 360
Autodesk Construction Cloud

Education

Bachelor’s or Master’s Degree in Architecture, Civil Engineering, or related field

Job description

BIM (Building Information Modeling) Specialist

Dubai, United Arab Emirates | Posted on 01/31/2026

The BIM Specialist will spearhead the implementation and management of Building Information Modeling (BIM) processes to support architectural and engineering projects at a Dubai-based design firm. This role emphasizes leveraging cutting-edge AI technologies and automation tools to create

and maintain advanced, data-driven BIM models. The specialist will ensure adherence to international standards, promote seamless collaboration across disciplines, support compliance with UAE Dubai Municipality (DM) BIM implementation frameworks, and guide the firm’s transition into a more integrated and data-centric organization.

Key Responsibilities
  • Develop and Manage BIM Models: Build and maintain accurate, high-quality BIM models for architectural and engineering projects using platforms such as Revit, Navisworks, and other advanced tools.
  • Integrate AI Technologies: Utilize AI-driven tools for predictive modelling, clash detection, and design optimization to enhance BIM workflows and project outcomes.
  • Ensure BIM Standards Compliance: Implement and monitor international BIM standards (e.g., ISO 19650) and UAE DM BIM regulations to guarantee quality, interoperability, and reliable data exchange.
  • Automate Workflows: Leverage Dynamo, Python, and other automation tools to streamline repetitive tasks, optimize design processes, and provide real-time data insights.
  • Coordinate with Project Teams: Collaborate with architects, engineers, contractors, and stakeholders to align BIM deliverables with project requirements, supported by data-driven decision-making tools.
  • Maintain Digital Twins: Contribute to the development and oversight of digital twins for project monitoring, facility management, and predictive maintenance through IoT integration.
  • AI Tool Implementation: Research, implement, and train teams on AI-powered tools for generative design, cost estimation, and sustainability analysis within BIM environments.
  • Business Acumen: Ensure BIM strategies align with organizational goals, project budgets, and client objectives to create added value and strengthen competitive advantage.
Required Skills
  • Technical Expertise: Advanced proficiency in Revit, Navisworks, Dynamo, and Python for BIM modelling and automation.
  • Expertise in AI tools for AEC, such as generative design platforms (e.g., Autodesk Spacemaker, TestFit) and AI-based clash detection or analytics tools.
  • Strong knowledge of BIM standards, particularly ISO 19650, interoperability protocols, and UAE DM BIM requirements.
  • Experience with collaboration platforms like BIM 360, Autodesk Construction Cloud, or similar cloud-based solutions.
Domain Knowledge
  • In-depth understanding of AEC workflows enhanced by digital process optimization.
  • Knowledge of digital twin applications, IoT integration, and predictive analytics for facility management.
  • Understanding of machine learning applications in cost estimation, scheduling, and sustainability analysis.
  • Familiarity with UAE regulatory bodies and BIM implementation guidelines.
  • Collaboration: Proven ability to work in interdisciplinary teams, integrating AI insights with design and technical domains.
  • Problem-Solving: Strong analytical skills to address complex modeling, coordination, and AI-driven data integration challenges.
Qualifications
  • Proven experience implementing BIM on medium to large-scale AEC projects, with a focus on technology-enhanced workflows.
  • Demonstrated expertise in AI technologies and automation tools applied to BIM and digital twins.
  • Proficiency in cloud-based collaboration platforms (e.g., BIM 360, Autodesk Construction Cloud).
  • Education: Bachelor’s or Master’s Degree in Architecture, Civil Engineering, Computer Science, or a related field.
  • Experience: 5–10 years in BIM modelling, coordination, or related roles within the AEC industry, with at least 2 years of experience using AI and automation tools.
  • Exposure to UAE DM BIM regulations and local regulatory standards is preferred.
  • Accurate, AI-optimized BIM models for project design, execution, and analysis.
  • Automated workflows using Dynamo, Python, and AI tools to enhance efficiency and reduce manual effort.
  • Fully coordinated digital twins integrated with IoT for real-time monitoring and predictive maintenance.
  • Consistent integration of BIM data with project deliverables to support informed decision-making.
  • Comprehensive documentation and training materials to support adoption of BIM and AI technologies across teams.
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