AI Technical Architect

Role Description & Outcome

The AI Architect will serve as the strategic and technical lead, responsible for designing and driving the end-to-end AI tool evaluation process.

The role ensures the strategic selection and secure architectural integration of new AI technologies aligned with the enterprise roadmap.

Roles & Responsibilities

Design the AI tool evaluation framework, including tool categories, standardized intake, and recommendation criteria.

Lead a cross-functional team and act as the primary liaison between the evaluation team and executive sponsors.

Design the high-level security and compliance architecture for the Model Control Point (MCP) server.

Translate business unit requirements into clear, measurable technical and architectural parameters for PoC execution.

Present final recommendations (A, B, C, or D) and architectural integration plans to the governance board.

Must-Have Skills

Strong expertise in Generative AI architecture and model deployment pipelines.

5+ years experience in IT Architecture or Technology Consulting.

Proven ability to lead and drive complex, cross-functional technology initiatives.

Deep understanding of Cloud platforms (Azure, AWS, or GCP) and related security protocols.

Excellent written and verbal communication skills for executive-level presentations.

Nice-to-Have Skills

Experience defining governance structures (CoE, review boards, etc.).

Cloud architecture certifications (Azure Architect, AWS Solutions Architect, etc.).

Background in developing ML / AI systems.