Senior AI Automation Engineer

Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. They are seeking a Senior AI Automation Engineer to design, build, and optimize integrations and advanced AI workflows that enhance enterprise business operations.

Responsibilities:

• Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake
• Implement error handling, observability, and reusable design patterns to ensure reliability and scalability
• Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop Checkpoints
• Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc) as agent-callable tools, not just data sources
• Build guardrails, fallbacks and error recovery for non-deterministic workflows
• Design and automate data flow processes to support AI retrieval (RAG) and insights generation across core enterprise platforms
• Build evaluation into every system to ensure high quality results, considering precision, answer faithfulness, latency, and cost
• Own the Retrieval-Augmented Generation (RAG) lifecycle end-to-end, including ingestion, chunking strategy, embeddings, vector storage, and reranking
• Implement data quality checks and architectural safeguards to ensure trusted, high-fidelity datasets for AI agents
• Production observability: prompt/response tracing, cost monitoring, eval dashboards
• Document agent behavior, decision logic and failure modes
• A/B testing agent versions, model comparisons
• Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks
• Apply data governance practices for lineage, security, and retention
• Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira

Requirements:

• 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 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
• Experience with Cloud Platforms such as GCP or AWS preferred
• Workato Automation Pro, Foundations or SnowPro certifications preferred