Engineering and AI Enterprise Architect, Client Delivery Solutions

A little more about your role...

The Engineering & AI Enterprise Architect is responsible for defining and governing the enterprise architecture for engineering applicatons, digital delivery platforms and artificial intelligence (AI) within WSP's global, project-centric environment.

The role provides architectural leadership across applications, data, integration, platforms, and AI‑enabled capabilities, ensuring alignment between business strategy, client delivery needs, and technology execution. It balances enterprise‑level architectural rigor with practical delivery considerations, enabling scalable, secure, and value‑driven modernization of engineering and project delivery solutions. Operating within Client Delivery IT Solutions, the role partners closely with engineering leadership, Business and Technical Architecture functions, Data & AI teams, and global delivery stakeholders to translate complex delivery needs into coherent, future‑ready enterprise architectures.

Main Responsibilities:

Enterprise Engineering & AI Architecture

• Define and govern the enterprise architecture vision, principles, standards, and target states for engineering applications, digital delivery platforms, project data, and AI‑enabled capabilities.
• Develop enterprise roadmaps and reference architectures aligned with WSP’s business, digital, and delivery strategies, ensuring architectural coherence across applications, data, integration, platforms, and AI services.

Engineering Application Portfolio & Technology Standards

• Define and maintain the standard enterprise engineering application portfolio, including core, supported, niche, and deprecated solutions.
• Establish application and integration standards, reference architectures, and usage guardrails to drive standardization, interoperability, reuse, and rationalization, while enabling controlled innovation and AI adoption and acceleration.

AI Enablement & Project Data Architecture

• Define and govern the enterprise project data strategy and architectural framework supporting project delivery, analytics, AI enablement, and lifecycle information management.
• Lead architecture for the responsible, secure, and scalable adoption of AI within engineering and project delivery, ensuring alignment with enterprise data, security, ethics, and governance frameworks.

Architecture Assurance & Delivery Alignment

• Partner with Business stakeholders, IT Business Partners, and CDS Front Door functions to assess architectural impacts, risks, dependencies, and value of initiatives.
• Act as a design authority for complex, cross‑domain solutions, governing major solution designs, integrations, and vendor selections to ensure adherence to target architecture and delivery objectives.

Stakeholder Leadership & Influence

• Serve as a trusted architectural advisor to senior business, engineering, and IT stakeholders.
• Communicate complex architectural concepts clearly to technical and non‑technical audiences and influence alignment across a global, matrixed organization without direct authority.

 
What we will be looking for you to demonstrate… 

• Bachelor’s degree in Information Technology, Engineering, Computer Science, or a related field (or equivalent experience). 
• Extensive experience in enterprise, solution, or domain architecture roles within complex organizations. 
• Proven experience with engineering applications, digital delivery platforms, and software asset intensive environments. 
• Practical experience designing and governing data and AI enabled architectures, including platforms, patterns, and risk management. 
• Excellent stakeholder management, communication, and influencing skills.