Graduate AI Scientist - Generative AI & Cloud Innovation

Ericsson; Stockholms kommun; On-site; SEK 420,000 - 520,000; Full time

Job summary

Ericsson's Radio Software AI Team in Stockholm is looking for a recent graduate passionate about AI. You will join a small team and collaborate with global partners to promote state-of-the-art AI technologies within the Radio Product Development.

You will work with cloud and on-premises AI workloads, contribute to knowledge graphs and data products, and help design evaluation capabilities and reliable agent-based processes. A great fit for curious self-starters.

Qualifications

• A degree in Computer Science, Software Engineering, AI, or a related field.
• Strong interest in generative AI and agentic systems.

Responsibilities

• Operate the RUSW AWS account and support AI workloads across cloud and on-premises environments.
• Collaborate with the Data Platform team to enable AI access to semantic layers, knowledge graphs, metadata, and enterprise data products.
• Establish AI evaluation capabilities, including benchmarks, test datasets, quality metrics, and regression testing.
• Manage the lifecycle of AI agents and models, including versioning, rollout, rollback, experimentation, and retirement.
• Help transform existing workflows into AI-native processes.
• Design context-engineering and knowledge-management practices that enable agents to use reliable, up-to-date information.

Skills

Generative AI

Agentic systems

Cloud engineering

Knowledge graphs

LangGraph

LLMs

Prompt engineering

Problem solving

Collaboration

Independent learning

Education

Degree in Computer Science

Software Engineering or AI

Tools

AWS

Kubernetes

Docker

CI/CD

Infrastructure as Code

Job description

Ericsson's Radio Software AI Team in Stockholm is looking for a recent graduate passionate about AI. You will join a small team and collaborate with global partners to promote state-of-the-art AI technologies within the Radio Product Development.

You will work with cloud and on-premises AI workloads, contribute to knowledge graphs and data products, and help design evaluation capabilities and reliable agent-based processes. A great fit for curious self-starters.