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Tech Stack
Tools & technologiesAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesMicroservicesPythonReact
About the role
Key responsibilities & impact- Architect single-agent, multi-agent, and orchestrator/worker AI systems for autonomous and semi-autonomous Digital Office and business workflows
- Design solutions using modern agentic frameworks such as Microsoft Agent Framework, Semantic Kernel, LangChain / LangGraph, AutoGen, and Google Agent SDK
- Define agent capabilities, tool/function calling contracts, memory strategies, planning and reflection loops, and inter-agent communication protocols such as MCP and A2A
- Own end-to-end architecture spanning data ingestion, retrieval, RAG, GraphRAG, hybrid search, model selection, agent orchestration, integration, and serving
- Produce solution blueprints, agent topology diagrams, sequence flows, API/tool contracts, and non-functional requirement specifications
- Drive build-vs-buy decisions and evaluate vendor/hyperscaler offerings against Nokia standards
- Ensure alignment with Nokia enterprise architecture, security, identity, data-protection, and integration standards
- Define reusable architectural patterns and reference designs for agent-based IT/Digital Office solutions
- Provide hands-on technical leadership across multiple initiatives and mentor GenAI engineers and platform developers
- Set coding, model, prompt, agent, and AgentOps standards; champion responsible AI, evaluation rigor, and observability
- Establish AgentOps / LLMOps practices including CI/CD, A/B testing, trajectory and trace analysis, drift and quality monitoring, retraining, and decommissioning
Requirements
What you’ll need- Bachelor’s degree
- 10+ years in software/solution architecture
- 5+ years architecting AI/ML or data-intensive systems
- Recent hands-on experience designing GenAI and agentic AI solutions
- 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 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#
- Strong experience with cloud AI platforms, including Azure AI / Azure OpenAI / Azure AI Foundry and GCP Vertex AI
- Production-grade RAG, agentic, and fine-tuning solutions experience
- Experience with vector databases such as Azure AI Search, Pinecone, Weaviate, or pgvector
- Foundation in distributed systems, microservices, APIs, event-driven architecture, Docker/Kubernetes, and CI/CD
- Strong grasp of MLOps / LLMOps / AgentOps, evaluation frameworks, and AI observability
Benefits
Comp & perks- Flexible and hybrid working schemes
- A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
- Life insurance to all employees
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond