Our AI Transformation team is building an internal platform that helps our people use AI effectively and develop software with greater speed and confidence. Initiatives include an internal agentic AI work platform for creating and running workflows across internal tools, AI-driven SDLC automation to help engineers plan, build, test, and ship software, and a centralised knowledge base that gives people and agents reliable access to company context.
Build identity & trust signals: Leverage user behavior, historical patterns, and cross-modal risk indicators to produce robust identity-quality and trust signals.
Lead workflow and communication for high-value, custom, or complex campaigns, ensuring stakeholders are aligned on responsibilities, deadlines, dependencies, technical requirements, and success measures
Cybersecurity knowledge is useful, but not the primary requirement. The core requirement is deep experience building production-grade LLM, agentic AI, ML, automation or platform systems. Cyber domain expertise will be provided by SOC, incident response, vulnerability management, AppSec, cloud security, IAM, GRC, threat intelligence, red-team and security engineering SMEs.
You will lead the cloud/edge cloud infrastructure projects you are responsible for delivering. Your focus is to turn business and technical requirements into deliverable plans, hold suppliers accountable, coordinate data centre readiness, and ensure that new capacity is accepted and handed over to operations with clear ownership.