AI Architect - Telecom Domain
Job Overview
We are seeking an experienced AI Architect with deep expertise in the Telecom domain to design and implement next-generation AI solutions. The ideal candidate will have strong knowledge of telecom networks, AI/ML architectures, cloud platforms, and enterprise-scale solution design. This role involves leading AI initiatives, building intelligent copilots and agents, driving innovation, and supporting strategic business transformation programs.
Key Responsibilities
Design and architect AI-powered assistants, copilots, and agentic AI solutions for telecom operations and engineering teams.
Develop intelligent solutions for incident management, root cause analysis (RCA), anomaly detection, predictive maintenance, and operational automation.
Build and integrate AI platforms using LLMs, RAG, Knowledge Graphs, Vector Databases, and Multi-Agent Systems.
Lead AI product development, accelerators, proofs of concept (PoCs), and enterprise AI initiatives.
Integrate structured and unstructured data from network telemetry, documentation, OSS/BSS platforms, and operational systems.
Establish AI governance, security, observability, and responsible AI standards.
Mentor cross-functional teams including AI Engineers, Data Scientists, Data Engineers, and Software Developers.
Support client solutioning, executive presentations, proposals, and AI transformation engagements.
Required Skills
Strong Telecom domain expertise in RAN, Core Networks, Transport, OSS/BSS, Service Assurance, and Network Operations.
Hands-on experience with LLMs, Agentic AI, RAG, Knowledge Graphs, Vector Databases, and AI Orchestration Frameworks.
Expertise in Azure, Databricks, Microsoft Fabric, Snowflake, MLOps, LLMOps, APIs, and Microservices.
Experience building AI solutions for network intelligence, automation, and operational analytics.
Strong leadership, stakeholder management, and enterprise architecture experience.