R&D Architect, CMTS

Role Overview

• Contribute to the architecture of Nokia’s autonomous networks platform across data management, agent runtime, model infrastructure, governance and security.
• Define architecture patterns for AI-native network operations, including multi-agent systems, domain agents, intent interpretation, reasoning workflows, action recommendation and closed-loop automation.
• Help shape data platform architecture for autonomous networks, including telemetry ingestion, semantic data products, event models, knowledge graphs, vector stores, time-series data, action/outcome history and cross-domain correlation.
• Contribute to agent runtime architecture, including agent orchestration, tool use, policy boundaries, A2A-style interactions, MCP-style integrations, workflow execution and runtime observability.
• Define model infrastructure requirements for LLMs, SLMs, RAG pipelines, domain-specific models, inference serving, model lifecycle management, evaluation and guardrail integration.
• Contribute to governance and security architecture, including identity, access control, policy enforcement, auditability, traceability, human-in-the-loop controls, blast-radius management and safe autonomous action.
• Build and guide working architectural validation artifacts, including prototypes, proof-of-concepts, reference implementations, demos, test harnesses and evaluation frameworks.
• Compare alternative technical approaches and communicate architectural trade-offs clearly to senior technical and business stakeholders.
• Work with product units, research teams, engineering teams and customer-facing organizations to translate strategic intent into implementable technical architecture.
• Contribute to architecture documentation, technical position papers, reusable patterns and internal guidance for autonomous network platform development.
• Track relevant ecosystem developments in agentic AI, cloud-native platforms, network automation, AI infrastructure, data platforms, security and telecom operations.
• Represent Nokia’s autonomous networks architecture in internal technical forums and, where needed, customer or ecosystem discussions.

Requirements

• 15+ years of relevant experience in telecom, cloud, data center networking, network automation, AI infrastructure or large-scale distributed systems.
• Strong architecture experience in service provider, enterprise, cloud or mission-critical network environments.
• Good understanding of autonomous networks, network automation, SDN/NFV, telco cloud, cloud-native operations or AI-native operational systems.
• Experience defining architecture across multiple technical domains, such as data platforms, orchestration, AI/ML platforms, security, network control systems or operational support systems.
• Hands-on ability to build or guide prototypes, proof-of-concepts, reference implementations, validation environments or technical demos.
• Familiarity with cloud-native technologies such as Kubernetes, containers, Helm, GitOps, CI/CD, service meshes, observability stacks and infrastructure-as-code.
• Understanding of AI/ML infrastructure concepts such as LLMs, RAG, vector databases, model serving, fine-tuning, evaluation, prompt/tool orchestration and model lifecycle management.
• Familiarity with agentic AI concepts, including agents, tools, memory, planning, multi-agent collaboration, MCP-style integration, A2A-style interaction patterns and runtime governance.
• Strong understanding of network data, telemetry and models, including YANG, OpenConfig, gRPC, streaming telemetry, REST APIs, event streams and time-series data.
• Experience with data architectures involving Kafka or equivalent event systems, NoSQL databases, observability data stores, knowledge graphs, vector stores or semantic data layers.
• Knowledge of security and governance concepts relevant to AI-native operations, including identity, policy, audit, authorization, secure-by-design architecture and operational safety.
• Strong communication skills, with the ability to explain complex architecture choices, trade-offs and risks to senior technical and business stakeholders.
• Ability to operate across ambiguity, shape new technical domains and influence without relying only on formal authority.

Tech Stack

• Cloud
• Distributed Systems
• GRPC
• Kafka
• Kubernetes
• NoSQL

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