About the role
Summary Lead the end-to-end design, build, deployment, and operationalization of a large-scale Agentic AI platform for telecom networks, integrating AI agents across various components.
Responsibilities:
- Own overall program delivery, budget, governance, and stakeholder management.
- Define platform roadmap for Agentic AI, Digital Twin, AIOps, and Autonomous Network Operations.
- Coordinate product, architecture, engineering, data science, MLOps, and telecom domain teams.
- Drive integration with OSS/BSS, NMS, Data Lakes, CMDB, observability platforms, and vendor ecosystems.
- Manage multi-vendor environments including notable telecom providers.
- Define KPIs for network automation, fault reduction, MTTR, SLA compliance, and operational efficiency.
- Establish AI governance, explainability, model risk management, and regulatory compliance frameworks.
- Lead executive reporting and steering committees.
Key Requirements:
- 15+ years in telecom transformation and network automation.
- Experience in delivery of at least 2 large-scale projects including AIOps platforms and Autonomous Network Operations platforms.
- Hands-on experience with telecom AI/ML platforms and OSS modernization programs.
- Strong understanding of 4G/5G RAN, 5G Core, Transport Networks, OSS/BSS and Cloud-native platforms.
- Proficiency in Agentic AI, MCP, AI orchestration frameworks, RAG, LLMOps, MLOps.
- Track record of handling programs exceeding €20M.
Nice to Have:
- Experience with vendor ecosystems and multi-vendor environments.
- Knowledge of regulatory compliance frameworks related to AI.
- Familiarity with performance KPIs related to network operations.
Other Details:
Category: Experience - 15+ years in telecom transformation and network automation.
Detail: Experience with 4G/5G technologies, AI platforms, OSS/BSS.
Category: Budget - Experience with projects over €20M.
Category: Vendor Management - Multi-vendor experience with notable telecom providers.
Contract Duration: 12 months contract
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