Engineering & AI Enterprise Architect, Client Delivery Solutions

Position Summary

The Engineering & AI Enterprise Architect is responsible for defining and governing the enterprise architecture for engineering applications, 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. This position can be located anywhere in the U.S. where WSP has an office location.

• 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.

• 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.

• 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.

• 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.

• 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.

• Bachelor’s degree in Information Technology, Engineering, Computer Science, or a related field (or equivalent experience).
• 7+ years 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.
• Excellent written and spoken English.

• Be a proactive self‑starter with ability to work independently while collaborating effectively across teams and geographies.
• Strong organizational, analytical, and prioritization skills with the ability to manage multiple initiatives and translate business strategy into actionable architectural outcomes.
• High degree of adaptability, comfortable operating at strategic and detailed levels.
• Delivery focused mindset with strong problem‑solving and…