Senior AI Engineer
taleo
Job Description
- Configure, evaluate, and operationalize platform-native AI capabilities in Atlassian Cloud (Atlassian Intelligence, Rovo agents and search, AI-assisted automation) against Client-relevant use cases — prioritizing capability the platform licence already includes before any external tooling is considered.
- Support Client's migration engineering team with AI-assisted analysis at scale: classification and rationalization of workflows, custom fields, schemes, and Confluence content; duplicate and dormancy detection; anomaly surfacing in migration verification outputs.
- Build and maintain prompt libraries, agent playbooks, and use-case catalogues by persona (engineering, agile execution, business/functional teams), in partnership with the Training Lead and OCM Lead.
- Develop lightweight automation and scripts (e.g., Python against Atlassian REST APIs) that support migration-adjacent analysis, reporting, and adoption measurement.
- Define and track AI adoption measures across three axes — adoption (reach and correct usage), guardrails (responsible-use compliance), and business impact (time saved, cycle-time reduction) — and feed results into programme reporting.
- Contribute AI-enablement content to training assets, Communities of Practice, and champion networks; run targeted enablement sessions for high-leverage personas.
- Document configurations, evaluations, and recommendations so that capability transfers cleanly to Client teams at stabilization.