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Tebra

AI Automation Engineer

Department
Engineering
Job Type / Location
remote
Experience Required
2+ years
Posted On

About the Role

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.

Your Area of Focus

  • Integration & Automation Development
    • 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.
  • Agentic System Design
    • 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.
  • Data/RAG Pipeline Design & Management
    • Develop and automate ELT/ETL processes to support both BI Analytics and AI retrieval across similar datasets with different access patterns.
    • Build evaluation into every pipeline to ensure high quality results considering precision, answer faithfulness, latency and cost.
    • Own retrieval end-to-end including ingestion, chunking strategy, embeddings, vector storage and reranking as one connected system.
    • Implement data enrichment, quality checks, and architectural safeguards to maintain trusted datasets.
  • AI Operations
    • Production observability: prompt/response tracing, cost monitoring, eval dashboards.
    • Document agent behavior, decision logic and failure modes.
    • A/B testing agent versions, model comparisons.
  • Programming for Automation
    • Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks.
  • Governance & Documentation
    • Apply data governance practices for lineage, security, and retention.
    • Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira.

Your Professional 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.

View Assessment Process

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