You will architect multi-agent systems, autonomous workflows, and human-in-the-loop copilots using modern agentic frameworks — translating business problems into robust, scalable, and responsible AI architectures. You will be the senior technical authority bridging business stakeholders, data scientists, platform engineers, and IT architecture functions.

Your Responsibilities

- Architect agentic AI systems — single-agent, multi-agent, and orchestrator/worker patterns — for autonomous and semi-autonomous DO and business workflows.

- Design solutions using modern agentic frameworks such as Microsoft Agent Framework (MAF), Semantic Kernel, LangChain / LangGraph, AutoGen, Google Agent SDK

- Define agent capabilities, tool/function calling contracts, memory strategies (short-term, long-term, episodic), planning and reflection loops, and inter-agent communication protocols (e.g., MCP, A2A).

- Own the end-to-end architecture: data ingestion, retrieval (RAG, GraphRAG, hybrid search), model selection, agent orchestration, integration, and serving.

- Produce high-level and detailed design artifacts: solution blueprints, agent topology diagrams, sequence flows, API/tool contracts, and non-functional requirement specs.

- Drive build-vs-buy decisions and evaluate vendor/hyperscaler offerings against Nokia standards.

- Ensure solutions align with Nokia's enterprise architecture, security, identity, data-protection, and integration standards.

- Define reusable architectural patterns and reference designs for agent-based IT/DO solutions.

- Provide hands-on technical leadership across multiple parallel initiatives; mentor GenAI engineers,



and platform developers on agentic patterns and frameworks.

- Set coding, model, prompt, agent, and AgentOps standards; champion responsible AI, evaluation rigor, and observability.

- Establish AgentOps / LLMOps practices: CI/CD for agents, prompts, and tools; A/B testing; trajectory and trace analysis; drift and quality monitoring; retraining; and decommissioning.

Your Skills and Experience

- 10+ years in software/solution architecture, with 5+ years architecting AI/ML or data-intensive systems and recent hands-on experience designing GenAI and agentic AI solutions and Deep, hands-on expertise with at least two agentic frameworks — Microsoft Agent Framework (MAF), Semantic Kernel, LangChain / LangGraph, AutoGen, CrewAI, or LlamaIndex agents.

- Strong understanding of agent design patterns: ReAct, Plan-and-Execute, reflection, tree-of-thought, multi-agent collaboration, orchestrator/worker, and supervisor-critic loops.

- Proficiency in tool/function calling, structured outputs, MCP, and agent-to-agent communication patterns.

- Deep expertise in Python and /or C# and with Strong experience with cloud AI platforms — Azure AI / Azure OpenAI / Azure AI Foundry preferred, plus GCP Vertex AI.

- Proven track record designing production-grade RAG, agentic, and fine-tuning solutions, including vector databases (Azure AI Search, Pinecone, Weaviate, pgvector).

- Solid foundation in distributed systems, microservices, APIs, event-driven architecture, containers (Docker/Kubernetes), and CI/CD.

- Robust grasp of MLOps / LLMOps / AgentOps, evaluation frameworks, and AI observability.

📌 AI Solution Architect (Bengaluru)
🏢 NOKIA
📍 Bengaluru