Job description
Own the end-to-end AI architecture across telecom domains (network, customer, revenue), ensuring scalability, compliance, and integration with OSS/BSS ecosystems.
Key Responsibilities
- Define enterprise AI architecture across GenAI, ML, and Agentic systems aligned to telecom priorities (churn, fraud, network optimization, customer experience).
- Design integration with OSS/BSS (billing, CRM, mediation, provisioning) and network data sources (CDRs, probes, telemetry).
- Establish reference architectures for RAG, real-time inference, and AI agents.
- Define AI governance, TRiSM, model risk frameworks aligned with telecom regulatory requirements.
- Standardize architecture for multi-country Op. Co deployments (latency, sovereignty, edge vs cloud).
Requirements
- Deep knowledge of distributed systems, cloud (AWS/Azure/GCP), Kubernetes
- Telecom stack familiarity (OSS/BSS, 4G/5G core, mediation systems)
- AI architecture patterns (RAG, LLM orchestration, feature stores)
- Security and compliance frameworks Benefits
- Time-to-production for AI use cases
- Architecture reuse across Op. Cos
- Compliance adherence (audit findings