DevOps AI Platform Architecture

Summary: The role of DevOps AI Platform Architecture involves defining and documenting global AI platform architectures and MLOps architecture, as well as enabling strategic capabilities for large language models (LLMs). The position requires collaboration with various teams to ensure secure and scalable model deployment and to drive incremental platform capabilities. This is a hybrid role based in London, with a focus on architecture and design decisions in AI technologies. The contract is set to last until December 31, 2026.

Key Responsibilities:

• Define and document global AI platform patterns and obtain approvals through architecture forums.
• Design Model Serving Architecture.
• Partner with the AI Tech Lead on the Model Serving PoC and define the end-to-end architecture for scalable and secure model deployment.
• Define and document MLOps architecture using learnings from the Model Serving PoC and drive approvals for standardisation.
• Assess different capabilities for LLM and take design decisions for approval.
• Work with security, Data protection office, and other architecture teams to align them with the decision and secure approvals for roll out.
• Document the low level design for LLM roll out to different use cases.
• Drive incremental platform capabilities aligned with the approved L2 architecture.

Key Skills:

• Experience in defining and documenting AI platform architectures.
• Knowledge of MLOps architecture and practices.
• Familiarity with large language models (LLMs) and related technologies.
• Strong collaboration skills to work with cross-functional teams.
• Ability to drive approvals and standardisation processes.
• Experience in designing scalable and secure model deployment architectures.

Salary (Rate): £438 per day

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT