Juul Labs is seeking an Enterprise Systems Engineer who will lead with AI as the foundation for implementing, integrating, and operating enterprise systems. This role will own the technical execution of the Workday and ERP ecosystem, leveraging AI tools like Claude, Gemini, and Cursor to enhance implementation velocity, integration quality, and continuous system improvement. The ideal candidate will be an intelligent system engineer and builder for data pipelines and AI agentic workflows connecting Juul Labs' global HCM, ERP, and CRM landscape, building an autonomous, resilient integration layer. This role requires deep platform knowledge and the judgment to determine when to configure, code, or utilize AI. The Enterprise Systems Engineer will serve as a cross-functional technical expert across Workday and ERP ecosystems, ensuring system integrity, data quality, and alignment with business requirements. They will identify, pilot, and scale AI use cases for streamlining internal operations, lead Workday and ERP implementations using AI-augmented methodologies, and leverage AI for tasks such as requirements extraction, gap analysis, UAT script generation, training material creation, and post-go-live support. Additionally, the role involves using AI-pair programming with tools like Cursor, Claude, and Gemini to accelerate development velocity for integration builds, transformation scripts, and API documentation. The engineer will also use AI tooling to generate and maintain UAT test scripts, data migration mappings, and functional specifications, and produce high-fidelity technical documentation. Writing and maintaining code (Python, JavaScript, or SQL) to automate business logic and system workflows, moving beyond out-of-the-box features to build custom solutions for complex challenges, will be key. The role includes serving as the technical lead for large-scale 'Source-to-Target' migration workstreams, executing ETL processes, and ensuring data scrubbing, normalization, and mapping. Developing and maintaining AI-augmented workflows using Claude and Gemini to build intelligent agents for compliance monitoring and data reconciliation, and identifying architectural weaknesses to implement preventative measures for long-term platform stability are also core responsibilities.
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Job Type
Full-time
Career Level
Senior