Senior AI Technologist

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About this opportunity:

The AI Technologist – Autonomous Networks designs, builds and industrialises AI/ML, GenAI and agentic AI solutions for network managed services and network intelligence. The role applies advanced AI to large-scale telecom and IT data, develops production-grade models, pipelines and digital-engineer agents, and collaborates with AI Domain Solution Leaders, architects and product teams to deliver scalable, secure and trustworthy solutions for Ericsson and its customers.

What you will do:

• Identify and lead AI/ML, GenAI and agentic AI opportunities across Ericsson businesses and strategic customers.


• Define data science problem statements, model validation strategies and measurable business outcomes.


• Design data architectures, data flows, feature engineering approaches and ML, deep learning, GenAI and agentic AI architectures.


• Develop and deploy predictive, anomaly detection, recommendation, root-cause and other AI/ML solutions using large-scale 4G/5G/5G-Advanced, IoT and OSS/BSS data.


• Design and implement GenAI solutions using LLMs, RAG, tool calling, agent orchestration and autonomous or assisted digital-engineer workflows for network operations.


• Lead PoCs and MVPs from problem definition and data exploration through production deployment and monitoring.


• Industrialise AI solutions with product teams through production-grade code, APIs, workflows and documentation.


• Build scalable data pipelines and storage/retrieval solutions for structured and unstructured data, including KPIs, logs, text and images.


• Own the MLOps lifecycle covering training, deployment, serving, monitoring, evaluation and model lifecycle management.


• Integrate AI models with network automation applications and Ericsson platforms through standard APIs and automation interfaces.


• Apply trustworthy-AI principles, guardrails, explainability, security and human-in-the-loop controls for safe deployment in live networks.

The skills you bring:

• Bachelor's/Master's/Ph.D. in Computer Science, Data Science, AI/ML, Electrical Engineering or a related discipline.


• 10+ years of industry experience, including 5+ years of production-level AI/ML experience, with hands-on GenAI and/or agentic AI development.


• Proven experience taking AI/ML and GenAI solutions from problem definition to production, including LLM assistants, RAG and AI agents.


• Strong programming and software-engineering skills with modern AI/ML and deep-learning frameworks, APIs, version control, testing and CI/CD.


• Strong knowledge of MLOps, SDLC, observability, security, model evaluation, configuration management and production readiness.


• Practical experience with the GCP AI ecosystem, including Vertex AI, Gemini, ADK, Agent Engine/Runtime, Model Garden, vector search, BigQuery, Spanner, Knowledge Catalog and Agent Gateway.


• Strong understanding of agentic AI architecture, including orchestration, agent harnesses, A2A, MCP, memory management, context engineering and token/cost optimisation.


• Hands-on expertise in data engineering, pipelines, big-data processing, storage, indexing, partitioning and retrieval.


• Telecommunications or IoT experience, particularly 4G/5G, OSS/BSS, network automation or network intelligence, is highly desirable.


• Ability to translate complex business and network challenges into practical AI solutions and communicate effectively with technical and non-technical stakeholders.


• Strong customer and value orientation, collaboration, creativity, ownership and ability to drive complex initiatives to completion.


• Experience with AI/ML communities, technical publications, white papers, conferences or patents is a plus.