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AI Automation Engineer

Tebra - United States - Remote

Engineer Verified May 30, 2026 Source: tebra.com

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: $101,000 - $115,500 USD About Tebra Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices

Responsibilities

  • We are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations, automations, and AI-driven workflows that power our enterprise data and business operations. You’ll own the Workato automation stack, develop resilient data pipelines between core platforms (Salesforce, NetSuite, Snowflake, Slack), and implement AI-enabled capabilities that reduce manual work and accelerate insights.
  • This role requires deep technical execution skills in integration development, data modeling, and programming, combined with a practical understanding of AI workflows. You will collaborate directly with stakeholders to translate business needs into scalable, automated solutions — delivering measurable improvements in data accessibility, system efficiency, and operational performance.

Qualifications

  • 2-5 years of experience in integration, automation, AI, software or data engineering, with 1+ year hands-on in Workato.
  • Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar).
  • Proficiency in designing and implementing integrations across Salesforce, NetSuite, Slack, and Snowflake.
  • Hands-on technical background in ETL/ELT, Reverse-ETL, data modeling, SQL/T-SQL, and programming (Python, Ruby, or similar).
  • Experience using vector databases such as Pinecone, Snowflake Cortex Search and pgvector.
  • Experience with AI/ML concepts and implementing AI workflows in enterprise environments.
  • Hands-on experience leveraging APIs and programming languages to build and maintain scalable enterprise integrations.
  • Experience with Cloud Platforms such as GCP or AWS preferred.
  • Hands-on experience using APIs and programming languages to build and maintain scalable enterprise integrations.
  • 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.
  • Proficiency with Snowflake, Salesforce, and NetSuite, with strong architectural and automation design skills preferred.
  • 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 or SnowPro certifications preferred.
  • (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:
  • Beyond base compensation, Tebra offers eligible employees the opportunity for variable pay and a robust benefits package, reflecting our commitment to your overall well-being. In compliance with California pay transparency laws, the specific compensation range applicable to your Geo Zone will be shared during your initial talent screen.
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