Key Responsibilities

- Define and architect enterprise-grade Agentic Orchestration Platforms

- 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 governance, and agent communication frameworks

- Design and implement autonomous and tool-using agents, Retrieval-Augmented Generation (RAG) systems, multi-agent collaboration patterns, AI copilots and decision intelligence systems, and AI Ops agents

- Establish architecture standards for prompt engineering, context injection, agent memory frameworks, AI evaluation and observability, hallucination mitigation, and responsible AI controls

- Architect cloud-native AI platforms on AWS, Azure, or GCP

- Design scalable runtime environments using Kubernetes, container orchestration, service mesh, API gateways, and event-driven frameworks

- Drive best practices for Internal Developer Platforms (IDP), GitOps & Infrastructure as Code, AI workload scalability, GPU-aware scheduling, and performance optimization

- Define enterprise-wide AI governance frameworks for responsible AI usage, explainability and auditability, data privacy and compliance, security guardrails, and model access control mechanisms

Required Skills

- Strong experience in Agentic AI systems, multi-agent orchestration,



AI workflow automation, context-aware AI architectures, generative AI platforms, and autonomous systems design

- Hands-on expertise in LLM orchestration frameworks, RAG architectures, vector databases, AI memory frameworks, and AI evaluation pipelines

- Experience with LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, Model Context Protocol (MCP), AI Gateway frameworks, agent lifecycle frameworks, and AI observability platforms

- Robust expertise in AWS / Azure / GCP, Kubernetes & Docker, microservices architecture, event-driven systems (Kafka, streaming platforms), API-first design, platform engineering, GitOps, and Terraform

- Strong coding experience in Python, FastAPI, Node.js / TypeScript (preferred), distributed systems engineering, and API integration frameworks

Key Competencies

- Strategic thinking with hands-on architecture capability

- Strong problem-solving and system design skills

- Ability to work across cross-functional teams

- Deep understanding of scalable enterprise platforms

- Focus on innovation, governance, and performanc

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior AI / Agentic Architect (Bengaluru)
🏢 Comviva Technology
📍 Bengaluru