AI Systems Engineer

Sonar is a pioneer in AI code verification and governance, ensuring that software developed with AI assistance is reliable, secure, and maintainable. The company integrates with various AI tools and supports major corporations in building compliant software. The AI Systems Engineer role is part of the Business Technology team, which focuses on delivering top-notch products that enhance team performance and reduce operational friction. The AI Systems Engineer will design, build, and operationalize AI-augmented systems within Sonar's internal technology ecosystem. This includes engineering AI agents and connectors, automating workflows, and integrating the enterprise tool stack. The role involves working with Jira Service Management and the Atlassian suite, as well as other tools like Enterprise Apps connectors, Claude MCP integrations, and Rovo agents. The goal is to create a scalable, resilient, and high-performing system that supports Sonar's global growth. To excel in this role, candidates must have a strong background in AI-native operations, enterprise platform engineering, and IT service management. Experience with Jira Service Management and the Atlassian suite is essential. Proficiency in engineering automation pipelines and integrating various enterprise tools is also required. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality solutions. Nice-to-have skills include familiarity with AI-driven internal operations and a deep understanding of how to operationalize AI-native capabilities. The role offers the opportunity to work in a dynamic, fast-paced environment with a global team. Sonar's commitment to quality and customer satisfaction, along with its fast-paced growth, provides a unique platform for professional development and impact. What the role asks for: - Experience in AI-native Operations. - Experience in Enterprise Platform Engineering. - Experience in IT Service Management. - Experience with Jira Service Management. - Experience with the Atlassian Suite. - Experience with the integration of Enterprise Tools. - Experience with the development of automation pipelines.