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.
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 enterpri...
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.
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