Design, build, and enable AI agents that help teams automate repetitive tasks, decompose requirements, create and update work items, summarize information, and improve decision-making
Translate business problems into practical AI-enabled workflow designs, including agent instructions, prompts, knowledge sources, inputs, outputs, guardrails, and human review points
Monitor adoption, collect feedback, analyze effectiveness, and continuously improve AI agents, automation rules, and Atlassian configurations
Promote responsible AI usage by ensuring outputs are reviewed, assumptions are transparent, and AI-enabled workflows follow approved standards and access controls
Configure and administer Atlassian capabilities across Jira and Confluence, including project settings, workflows, permissions, templates, fields, automation rules, and knowledge structures
Design and configure Jira automations that improve project board hygiene, reduce manual updates, support traceability, and improve team efficiency
Create Confluence templates, guidance pages, and knowledge structures that support AI agent performance, reusable standards, and consistent delivery practices
Support the rollout and adoption of AI-enabled ways of working by creating playbooks, training materials, demos, office hours, and team coaching sessions
Document agent designs, automation logic, configuration decisions, and operating procedures in alignment with CTC Engineering practices and governance standards
Partner with BSA, Solution Architecture, Product, Engineering, QA, Delivery, and business teams to identify high-value AI and automation use cases.
Requirements
Proven hands-on experience designing, building, testing, and improving AI agents using Atlassian Rovo Studio or comparable low-code/no-code AI agent platforms
Strong understanding of how Jira and Confluence work together to support requirements, work item creation, traceability, delivery execution, and knowledge management
Experience working with Atlassian automation, marketplace apps, integrations, or reporting capabilities is a strong asset
Strong analytical skills with the ability to break down complex processes and translate them into simple, scalable workflow solutions
Ability to identify process bottlenecks, standardization gaps, and automation opportunities across teams
Experience creating clear documentation, process maps, templates, playbooks, training materials, and enablement content
Strong facilitation and communication skills, with the ability to explain AI and platform concepts to both technical and non-technical audiences
Ability to collaborate across BSA, Product, Engineering, Architecture, QA, Delivery, and business stakeholder groups
Results-driven and comfortable working in a fast-paced, ambiguous environment
Strong stakeholder management skills with the ability to balance platform standards, team needs, and delivery priorities.