Explore, design, and prototype AI-driven solutions that automate or augment DevOps and platform engineering workflows.

Main activities:

• Research AIOps/AI-assisted automation trends
• Identify and prioritize high-value use cases (incident analysis, config generation, anomaly detection, knowledge extraction, automated documentation)
• Propose additional use cases with engineering teams
• Build a proof-of-concept integrating AI into selected DevOps tasks
• Evaluate value, limitations, and long-term benefits

Deliverables: Technical study, working POC, documentation, and final presentation.

Main domain: AI in DevOps & Platform Engineering (AIOps) Profile: Software Engineering / AI / Machine Learning / Data Science / DevOps