Tebra - Senior AI Automation Engineer

• 5+ years of experience in integration, automation, AI, or software engineering, with 1+ year hands-on in Workato. • Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar). • Deep proficiency in designing, implementing, and architecting complex AI workflows and integrations across core platforms (Salesforce, NetSuite, Slack, and Snowflake). • Hands-on technical background in programming (Python, Ruby, or similar), leveraging APIs to build and maintain scalable, high-fidelity enterprise systems. • Experience using vector databases such as Pinecone, Snowflake Cortex Search, and pgvector for Retrieval-Augmented Generation (RAG). • Experience with AI/ML concepts and implementing agentic architecture and AI workflows in enterprise environments. • Experience with Cloud Platforms such as GCP or AWS preferred. • Experience with GitHub for version control, Jira for work tracking, and Confluence/Lucid for documentation. • Strong problem-solving, critical thinking, and ability to execute under minimal supervision. • Motivated to learn new technologies and develop new skills. • Track record of introducing innovation in automation and AI while maintaining governance and system reliability. • Workato Automation Pro , Foundations or SnowPro certifications preferred. • (For Recruiter use only) #LI-SS1 #LI-Remote • (For Recruiter use only) • #LI-SS1 #LI-Remote • We are dedicated to attracting and retaining top talent with competitive and fair compensation. For this position, this range reflects our Zone 1 (National Average) pay band. Your specific compensation is thoughtfully determined by your experience, qualifications, the specific requirements of the role, and your Geo Zone. Our geo-zone system ensures your pay is competitive for your location, recognizing varying costs of labor across regions. • Our four geo zones are designed to reflect this:Zone 1: National AverageZone 2: Moderately Higher Cost RegionsZone 3: High-Cost RegionsZone 4: Lower-Cost Regions