Job Purpose

This role is responsible for translating business and product requirements into scalable cloud-native architectures, ensuring real-time performance, reliability, compliance, and cost efficiency while leading multiple AI and engineering teams building reusable PaaS capabilities rather than one-off solutions.

Duties and Responsibilities

A. Platform Architecture Ownership (Primary)
Own the reference architecture for the Voice AI platform across:
Tenant management
Real-time voice runtime
AI orchestration
Telephony abstraction
Compliance audit layers
Design and evolve multi-tenant SaaS architecture with:
Tenant isolation (config, data, runtime)
Shared core services
Per-tenant policy enforcement
Ensure platform supports configuration-driven agent creation, not code-heavy customization.

B. Cloud SaaS Engineering Leadership
Lead cloud-native design on Azure, including:
Kubernetes (AKS), microservices, event-driven systems
API Gateway, WebSockets, WebRTC, NGINX
Redis, Kafka/Event Hubs, Blob/Vector storage




Define SaaS-grade non-functional requirements:
Availability, scalability, latency, DR
Tenant-level throttling and quotas
Usage metering and billing hooks
Drive cost-aware architecture decisions (compute, LLM usage, speech infra).
Own setting strategy (dev / test / prod, tenant-scoped).

C. Real-Time Voice AI Orchestration
Ensure ultra low latency
Architect deterministic + AI hybrid flows:
State machines / orchestration controlling AI calls
Guardrails around compliance-critical steps
Design failure-resilient voice flows:
No mid-call drops
Graceful degradation
Fallback logic

D. Delivery, Quality Reliability
Translate architecture into explicit execution plans for GB06 leads.
Review and approve:
Architecture diagrams
API contracts
Data flows
Runtime decisions
Own production readiness:
Observability, metrics, alerts
Conversation replay
Incident response patterns
Ensure backward com

📌 National Lead Pune
🏢 Bajaj Finance
📍 Pune