Senior AI Engineer

ROLE PURPOSE

Enable Client to activate the AI capability that ships natively with Atlassian Cloud - and to use AI to accelerate the migration itself. The role works alongside Clients migration engineers and the Jira Cloud Architect: applying AI-assisted techniques to pre-migration cleanup and analysis, and building the prompt libraries, agent configurations, and adoption assets that turn platform-native AI into everyday productivity after each wave lands.

KEY RESPONSIBILITIES

• 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 Clients 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.

REQUIRED QUALIFICATIONS EXPERIENCE

• 6+ years in software/data engineering with 2+ years hands-on in applied AI/LLM work: prompt engineering, agent configuration, retrieval patterns, and evaluation of AI outputs.
• Working proficiency with Python and REST APIs; ability to script analysis against large administrative datasets (workflows, fields, users, content).
• Practical familiarity with the Atlassian platform (Jira, Confluence) and its automation framework; ability to come up to speed quickly on Atlassian Intelligence and Rovo capabilities.
• A use-case-first working style: starts from the work and the measurable benefit, not from the tool.
• Clear documentation and enablement skills; comfortable presenting to non-technical audiences.

PREFERRED

• Experience with Atlassian Forge or Connect app ecosystems; exposure to Data Center-to-Cloud migration tooling.
• Experience defining responsible-AI guardrails in an enterprise (data handling, access boundaries, human-in-the-loop review).
• Exposure to regulated-industry constraints on AI usage.