AI Engineer

Our client is hiring an AI Engineer to own a mix of data pipeline work, analytics, and AI/ML development. You'll build integration feeding enterprise data systems, develop Power BI models for business reporting, and prototype AI/ML and agentic workflows that automate real processes. You'll also work directly with business stakeholders to scope and build out their AI use cases from the ground up.

C2C is not an option with this job opening and all applicants should be able work for any US Employer without sponsorship. Sponsorship is not provided and this person will not need to require sponsorship in the future.

• True end-to-end ownership across data engineering, analytics, and AI/ML
• Direct, face-to-face collaboration with business stakeholders on AI use cases
• Exposure to Microsoft Fabric and agentic AI workflow patterns
• Influence over legacy pipeline modernization, not just greenfield builds
• High visibility across corporate IT and business teams

$130-150K based on experience

• Build and maintain data integrations from ERP, EHS, and operational systems into Azure SQL
• Develop and maintain Power BI semantic models and executive dashboards
• Prototype and deploy AI/ML solutions (forecasting, anomaly detection, classification)
• Build agentic workflows to automate multi-step business processes
• Partner directly with business users to define and test AI use cases
• Modernize and clean up legacy data pipelines
• Apply Python across data engineering, analytics, and AI/ML work

• Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or related field
• Hands-on experience with Azure Data Factory and/or Boomi
• Experience building Power BI semantic models (not just surface-level dashboards)
• Track record taking AI/ML solutions from prototype to production
• Comfortable splitting time between AI/ML work and ETL/data-plumbing work
• Experience with Microsoft Fabric or agentic AI/workflow orchestration (preferred)