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.
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.
- 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.
- Strong grasp of MLOps / LLMOps / AgentOps, evaluation frameworks, and AI observability.
Nice-To-Have:
- Excellent communication skills — able to influence both engineering teams and executive stakeholders.ot/cause analysis in more complex problems. Can develop and implement recommendations. Managerial/Supervisory: Direct supervisory responsibilities for people.
- Typically first level (and lowest level) of solid line management. Carries out variety of complex activities according to plan within broader area of responsibility, analyses problems. Decision-making typically according to established solutions.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
- 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 to provide peace of mind and financial security
- 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
Skills Required
- 10+ years of experience in software or solution architecture
- 5+ years architecting AI/ML or data-intensive systems
- Recent hands-on experience designing generative AI and agentic AI solutions
- Hands-on expertise with at least two agentic frameworks, such as Microsoft Agent Framework, 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 patterns
- Proficiency in tool and 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, or Google Cloud Vertex AI
- Experience designing production-grade RAG, agentic, and fine-tuning solutions
- Experience with vector databases such as Azure AI Search, Pinecone, Weaviate, or pgvector
- Strong foundation in distributed systems, microservices, APIs, event-driven architecture, Docker, Kubernetes, and CI/CD
- Strong understanding of MLOps, LLMOps, AgentOps, evaluation frameworks, and AI observability
- Excellent communication skills and ability to influence engineering teams and executive stakeholders
- Experience with complex problem analysis, root-cause analysis, and implementing recommendations
- Direct supervisory or people-management experience
Nokia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.
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Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
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Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
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Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.
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At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
