AI Solution Architect

As an AI Solution Architect with deep expertise in agentic AI, you will design and deliver enterprise-grade AI, GenAI, and automation solutions that embed into Nokia's IT and Digital Office (DO) processes. 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.

• 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.
• Lead technical design reviews, architecture boards, and proof-of-concept evaluations.
• Set coding, model, prompt, agent, and AgentOps standards; champion responsible AI, evaluation rigor, and observability.
• Define and evolve the GenAI and agentic platform stack — model gateways, vector stores, orchestration frameworks, tool registries, agent runtime, evaluation pipelines, tracing, and cost controls.
• 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.
• Implement agent observability with frameworks such as LangSmith, OpenTelemetry GenAI, Azure AI Foundry tracing, or equivalents.
• Optimize for cost, latency, throughput, and reliability at enterprise scale, including token budgeting and agent step caps.
• Embed responsible AI by design: bias and fairness checks, content safety, privacy, explainability, and compliance with Nokia's AI policy and regional regulations.
• Define agent safety controls — tool-use guardrails, sandboxing, permission scopes, human-in-the-loop approvals, action audit trails, and prompt-injection defenses.
• Define evaluation criteria, acceptance gates, and post-deployment monitoring for every AI/agent solution shipped.

Must-Have:

• 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; 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#, 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.

• Excellent communication skills — able to influence both engineering teams and executive stakeholders.

Some of our benefits:

• 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

Advancing connectivity to secure a brighter world. 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.

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.