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

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