Senior Agentic AI Architect

Job Title: Senior AI / Agentic Architect\nKey Accountabilities\nExperience: 14+ Years\nLocation: Bengaluru\nFunction: Technology Unit – AI, Agentic AI & Platform Engineering\nRole Summary\nLooking for a highly experienced Senior AI / Agentic Architect to lead the architecture and engineering of Comviva’s next-generation Agentic Orchestration Platform and Context Engineering Fabric .\nThis role will drive the transition from traditional AI-assisted workflows to autonomous yet governed multi-agent systems capable of orchestrating decisions, workflows, product intelligence, and operational automation across product platforms including BSS, Fintech, Martech, CPaaS, and AI Ops ecosystems.\nThe architect will work closely with Product Units, AI COE, Platform Engineering, Security, Performance Engineering, and Cloud teams to establish a scalable, secure, telco-grade AI platform that supports:\nMulti-agent orchestration\nContext-aware reasoning\nAI-native workflows\nHuman-in-the-loop governance\nAI security and guardrails\nReal-time operational intelligence\nAgent marketplace enablement\nSaaS and cloud-native extensibility\nThis is a strategic hands-on architecture role requiring deep expertise in AI systems, distributed architectures, platform engineering, and enterprise-scale orchestration.\nKey Responsibilities\nAgentic Platform Architecture\nDefine and architect the enterprise-wide Agentic Orchestration Platform for telecom-grade AI systems.\nDesign scalable architectures for:\nMulti-agent orchestration\nAgent lifecycle management\nAgent memory and context handling\nGoal decomposition and planning\nAutonomous workflow execution\nHuman-in-the-loop approvals\nAgent communication frameworks\nAI & Agent Engineering\nDesign and implement:\nAutonomous agents\nTool-using agents\nRetrieval-augmented generation (RAG)\nMulti-agent collaboration patterns\nAI copilots\nAI Ops agents\nDecision intelligence systems\nDefine architecture standards for:\nPrompt engineering\nContext injection\nAgent memory\nEvaluation frameworks\nAI observability\nHallucination mitigation\nResponsible AI controls\nPlatform & Cloud Engineering\nArchitect cloud-native AI platforms on AWS/Azure/GCP.\nDesign scalable runtime infrastructure using:\nKubernetes\nContainer orchestration\nService mesh\nAPI gateways\nEvent streaming frameworks\nDrive platform engineering best practices for:\nInternal Developer Platforms (IDP)\nGitOps\nInfrastructure as Code\nAI workload scalability\nGPU-aware scheduling\nPerformance optimization\nAI Governance\nDefine enterprise AI governance patterns for:\nResponsible AI\nExplainability\nAuditability\nSecurity guardrails\nData privacy\nModel access controls\n\nRequired Skills & Experience\nCore AI / Agentic Skills\nStrong experience in:\nAgentic AI systems\nMulti-agent orchestration\nAI workflow automation\nContext-aware AI architectures\nGenerative AI platforms\nAutonomous systems design\nHands-on experience with:\nLLM orchestration frameworks\nRAG architectures\nVector databases\nAI memory frameworks\nAI evaluation pipelines\nAI / Agentic Technology Exposure\nExperience in one or more:\nLangChain\nLangGraph\nSemantic Kernel\nCrewAI\nAutoGen\nMCP (Model Context Protocol)\nAI Gateway frameworks\nAgent lifecycle frameworks\nAI observability platforms\nCloud & Platform Skills\nStrong expertise in:\nAWS / Azure / GCP\nKubernetes\nDocker\nMicroservices\nEvent-driven architectures\nKafka\nAPI-first architectures\nPlatform Engineering\nGitOps\nTerraform\nProgramming & Engineering\nStrong coding experience in:\nPython\nFastAPI\nNode.js / TypeScript (preferred)\nDistributed systems engineering\nAPI integration frameworks