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Posted 12 June, 2026

Senior Agentic AI Architect

Comviva
Karnatak Region, KA, IN Full Time
Reference: 96a5204646205715

Job Description

Job Title: Senior AI / Agentic Architect Key Accountabilities Experience: 14 Years Location: Bengaluru Function: Technology Unit – AI, Agentic AI & Platform Engineering Role Summary Looking 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 . This 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. The 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: Multi-agent orchestration Context-aware reasoning AI-native workflows Human-in-the-loop governance AI security and guardrails Real-time operational intelligence Agent marketplace enablement SaaS and cloud-native extensibility This is a strategic hands-on architecture role requiring deep expertise in AI systems, distributed architectures, platform engineering, and enterprise-scale orchestration.

Key Responsibilities Agentic Platform Architecture Define and architect the enterprise-wide Agentic Orchestration Platform for telecom-grade AI systems. Design scalable architectures for: Multi-agent orchestration Agent lifecycle management Agent memory and context handling Goal decomposition and planning Autonomous workflow execution Human-in-the-loop approvals Agent communication frameworks AI & Agent Engineering Design and implement: Autonomous agents Tool-using agents Retrieval-augmented generation (RAG) Multi-agent collaboration patterns AI copilots AI Ops agents Decision intelligence systems Define architecture standards for: Prompt engineering Context injection Agent memory Evaluation frameworks AI observability Hallucination mitigation Responsible AI controls Platform & Cloud Engineering Architect cloud-native AI platforms on AWS/Azure/GCP. Design scalable runtime infrastructure using: Kubernetes Container orchestration Service mesh API gateways Event streaming frameworks Drive platform engineering best practices for: Internal Developer Platforms (IDP) GitOps Infrastructure as Code AI workload scalability GPU-aware scheduling Performance optimization AI Governance Define enterprise AI governance patterns for: Responsible AI Explainability Auditability Security guardrails Data privacy Model access controls Required Skills & Experience Core AI / Agentic Skills Strong experience in: Agentic AI systems Multi-agent orchestration AI workflow automation Context-aware AI architectures Generative AI platforms Autonomous systems design Hands-on experience with: LLM orchestration frameworks RAG architectures Vector databases AI memory frameworks AI evaluation pipelines AI / Agentic Technology Exposure Experience in one or more: LangChain LangGraph Semantic Kernel CrewAI AutoGen MCP (Model Context Protocol) AI Gateway frameworks Agent lifecycle frameworks AI observability platforms Cloud & Platform Skills Strong expertise in: AWS / Azure / GCP Kubernetes Docker Microservices Event-driven architectures Kafka API-first architectures Platform Engineering GitOps Terraform Programming & Engineering Strong coding experience in: Python FastAPI Node.js / TypeScript (preferred) Distributed systems engineering API integration frameworks

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