AI Systems Engineer

About the role

The Business Technology team is seeking an AI Systems Engineer to own the design, build, and operationalization of AI-augmented systems across the internal technology ecosystem. This role sits at the intersection of AI-native operations, enterprise platform engineering, and IT service management, focusing on automating workflows and integrating enterprise tools. You will enable internal teams to work faster and more efficiently by providing real-time visibility and consistent governance through scalable platform solutions.

Responsibilities

• Design, build, and operationalize AI-native capabilities including Claude MCP integrations and Rovo agents.
• Administer and evolve Jira Service Management, including service catalog design, SLA management, and automated routing.
• Manage the full Atlassian Cloud ecosystem with a focus on governance, user access, and platform health.
• Design and implement sophisticated workflow automations using Atlassian Automation, REST APIs, and third-party middleware.
• Build and maintain integrations between Atlassian and adjacent enterprise systems like Slack, HR platforms, and identity providers.
• Configure and maintain JSM Assets for reliable CMDB and lifecycle management.
• Define and enforce ITIL-aligned processes for incident, change, and problem management.

Required skills

• AI Engineering
• Jira Service Management
• Atlassian Cloud
• Automation Engineering
• REST APIs
• ITIL
• CMDB

Nice to have

• Python
• Groovy
• JavaScript
• Okta
• JumpCloud
• NetSuite
• Salesforce

Qualifications

• 5+ years hands-on administration of Jira Service Management, Jira Software, and Confluence Cloud in enterprise environments
• Proven experience building workflow automations using Atlassian Automation or third-party tools
• Experience configuring and maintaining a CMDB or IT asset management system

Certifications

• ACP-620
• ACP-120
• ACP-420

About the Company

Sonar is a leader in AI code verification and governance, helping organizations build reliable, secure, and maintainable software. With over $400M in revenue, the company provides independent, explainable, and consistent review of AI-generated code through platforms like SonarQube.