Role Description & Responsibilities

Dassault Systèmes is seeking an MBSE Solution Architect to define Model-Based Systems Engineering solution architectures that support our customers’ Virtual Twin Experiences and AI-powered generative Virtual Twin initiatives.

• Lead customers through the deployment and adoption of Virtual Twin Experiences based on Model-Based Systems Engineering, mission and systems modeling, enterprise architecture modeling, and related methodologies.

• Design comprehensive MBSE solution architectures that align with customer business objectives, technical requirements, and committed project scope.

• Provide consulting expertise in enterprise architecture, requirements engineering, systems architecture design, systems simulation, and MBSE methodologies.

• Guide customers in the effective use of CATIA Cyber Systems solutions, including CATIA Magic/Cameo, Dymola, STIMULUS, and the 3DEXPERIENCE platform.

• Apply SysML, Modelica, UAF, MagicGrid, functional and logical modeling techniques, and systems-engineering best practices.

• Support customers in industries such as aerospace and defense, AI factories, data centers, and rail infrastructure.

• Serve as a trusted technical advisor by translating customer expectations and business objectives into scalable systems-engineering solutions.

• Provide technical leadership throughout the project-delivery lifecycle and help secure successful solution go-live and adoption.

• Develop and improve MBSE processes, methodologies, implementation standards, and best practices.

• Collaborate closely with internal Dassault Systèmes brands, regional services organizations, and technical teams.

• Contribute to internal and external systems-engineering communities through knowledge sharing, publications, presentations, and industry events such as INCOSE.

• Capture and share knowledge and best practices gained through customer engagements.

• Maintain an advanced level of expertise across MBSE technologies, processes, industry standards, and Dassault Systèmes solutions.

Qualifications

• Bachelor’s degree in Engineering, Systems Engineering, Computer Science, or a related technical discipline with at least five to ten years of relevant experience.

• A master’s degree or equivalent engineering degree in Systems Engineering with at least five to seven years of relevant experience may also be considered.

• Deep knowledge of Model-Based Systems Engineering principles, processes, methodologies, and industry standards.

• Strong experience with requirements engineering, systems architecture design, systems modeling, and systems simulation.

• Hands-on experience with modeling languages and frameworks such as SysML, Modelica, UAF, and MagicGrid.

• Experience with CATIA Magic/Cameo, Dymola, STIMULUS, 3DEXPERIENCE, or comparable MBSE solutions.

• Knowledge of collaborative platforms, Product Lifecycle Management, Application Lifecycle Management, ENOVIA, and systems or software lifecycle-management solutions.

• Experience developing MBSE processes, methodologies, standards, and best practices.

• Previous consulting or professional-services experience with a structured and quality-focused approach to project delivery.

• Experience working across the complete project-delivery lifecycle.

• Strong technical leadership skills and experience leading customer engagements.

• Ability to understand complex customer expectations, objectives, and technical environments.

• Strong customer-facing, presentation, consulting, and communication skills.

• Ability to work effectively across internal teams, customer organizations, technical communities, and different cultures.