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, CPaa S, 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
Saa S 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)
Git Ops
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
Robust 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:
Lang Chain
Lang Graph
Semantic Kernel
Crew AI
Auto Gen
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
Git Ops
Terraform
Programming & Engineering
Strong coding experience in:
Python
Fast API
Node.js / Type Script (preferred)
Distributed systems engineering
API integration frameworks

📌 Senior agentic ai architect (Bengaluru)
🏢 Comviva
📍 Bengaluru