Senior Agentic AI Architect

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