Enterprise AI Architect

Our client, a global IT Consulting organisation, is hiring an Enterprise AI Architect to join their Dublin, Ireland on a contract basis. The successful candidate will define the target architecture for the organisation’s Enterprise AI Control Plane, setting out the capabilities needed to govern AI, who will own them, and how information will flow between teams and systems.

Responsibilities

• Review the organisation’s existing architecture and AI governance capabilities to identify gaps, constraints and dependencies.

• Define the target architecture for the Enterprise AI Control Plane and build a capability model that describes what each capability does, who owns it and how it relates to others.

• Turn business, governance, risk, and operational needs into architecture requirements and document how those requirements shape design decisions.

• Develop a conceptual information model showing how AI assets, ownership, risks, controls, policies and evidence relate throughout the AI lifecycle.

• Establish architecture principles and guardrails that guide detailed design and give delivery teams flexibility in their technology choices.

• Help prioritise capabilities for the first release, define how the architecture will evolve across later phases and contribute to the implementation roadmap.

• Lead architecture workshops and work with business, governance and technology teams to keep detailed designs aligned with the target architecture.

Skillset

• Strong enterprise architecture experience in complex or regulated organisations.

• Experience assessing existing architectures, defining target states and planning the transition between them.

• A good understanding of enterprise AI architecture, AI governance and how organisations manage AI assets throughout their lifecycle.

• Experience developing enterprise capability models and using business requirements to shape logical architectures and conceptual information models.

• An understanding of the governance, risk, security, privacy and regulatory considerations that influence enterprise AI architecture.

• Ability to define capability boundaries, map dependencies, and set principles and criteria that guide design decisions.

• Strong workshop facilitation and stakeholder engagement skills, with the ability to explain architecture decisions and trade-offs to senior leaders.