AI Solution Architect

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.