Jobs → Customer Support → AI Architect

About the Role We are looking for an experienced AI Architect with strong expertise in Telecommunications, AI/Agentic AI architecture, cloud platforms, and intelligent network operations solutions. Key Responsibilities • Telecom Network Expertise: Strong understanding of RAN, Core, Transport, OSS/BSS, Service Assurance, Network Operations, and Engineering domains. • AI & Agentic AI Architecture: Expertise in LLMs, RAG, Knowledge Graphs, Vector Databases, Multi-Agent Systems, and AI orchestration frameworks. • Network Operations Intelligence: Experience building AI solutions for incident management, RCA, anomaly detection, predictive maintenance, and operational automation. • Data & Cloud Architecture: Expertise in Azure, Fabric, Databricks, Snowflake, Data Engineering, MLOps, LLMOps, APIs, and microservices. • Knowledge Management Platforms: Experience with semantic search, engineering copilots, enterprise knowledge repositories, and decision-support systems. • Enterprise Architecture & Governance: Define architecture standards, integration patterns, security controls, and AI governance frameworks. • Leadership & Stakeholder Management: Lead cross-functional teams, mentor engineers, and drive AI adoption across the enterprise. • AI Product Innovation & Pre-Sales: Build AI accelerators, support solutioning, proposals, executive engagements, and client workshops. Requirements • Design AI-powered assistants, copilots, and agents to improve knowledge discovery, troubleshooting, and engineering productivity. • Lead development of AI products, accelerators, and PoCs addressing business and operational challenges. • Build intelligent solutions for incident triage, RCA, predictive insights, automated recommendations, and workflow orchestration. • Lead and mentor AI engineers, data scientists, data engineers, software engineers, and domain experts. • Integrate structured and unstructured data, telemetry, documentation, and operational knowledge into unified AI platforms. • Establish AI architecture, governance, security, observability, and responsible AI standards. • Support solutioning, bids, proposals, client presentations, executive briefings, and AI transformation initiatives through technical leadership.