AD, AI Engineering Model Lifecycle & Governance
Core
Lead the engineering, operationalisation, and lifecycle management of AI capabilities for Network Operations, ensuring models are trusted, reliable, and scalable.
Role type
Senior IC AI Engineering & Model Lifecycle Lead
Builds
Production-ready AI capabilities, model registries, and operational AI governance controls
Domain
Telecommunications + AI/ML Engineering
Deliverable
production ML models
Required skills
AI/ML engineering, MLOps/ModelOps, feature engineering, model deployment, model monitoring, drift management, retraining, AI governance, explainability, cross-domain team leadership, strategic planning, vendor management
Preferred skills
Telecommunications domain expertise, large-scale distributed environment experience, responsible AI implementation, executive stakeholder engagement
Technologies
MLOps tools, model registries, operational data platforms, automation/orchestration frameworks
Responsibilities
Own and evolve the Operational AI Engineering strategy and roadmap; Lead engineering and industrialisation of production-ready AI capabilities; Establish reusable AI engineering standards and components; Own the lifecycle of operational AI models from acceptance to retirement; Implement AI governance, explainability, and human-oversight controls; Partner with security and architecture functions to ensure compliance; Drive transition of validated AI capabilities into sustained operational use; Establish outcome measures for model accuracy and business value.
Seniority
Senior, hands-on IC with leadership responsibilities
