Senior AI Automation Engineer

Tebra

AI Automation Engineer at Tebra designing, building, and optimizing AI workflows and integrations to enhance operational efficiency. Collaborating with stakeholders to deliver scalable automated solutions.

Posted 6/3/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $127,000 - $145,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformPythonRuby

About the role

Key responsibilities & impact

Design, build, and optimize integrations, automations, and advanced AI workflows including agentic architecture.
Own the Workato automation stack, engineer scalable AI workflows on core platforms (Salesforce, NetSuite, Snowflake, Slack).
Collaborate directly with stakeholders to translate business needs into scalable, automated solutions and deliver measurable improvements in system efficiency and operational performance.
Implement error handling, observability, and reusable design patterns to ensure reliability and scalability.
Architect multi-agent systems for tool selection, planning loops, state management, and human-in-the-loop Checkpoints.
Own the Retrieval-Augmented Generation (RAG) lifecycle end-to-end including ingestion, chunking strategy, embeddings, vector storage, and reranking.
Production observability: prompt/response tracing, cost monitoring, eval dashboards.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
Flexible work hours
Paid time off
Remote work options
Wellness programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

integrationautomationAI workflowsagentic architectureprogrammingPythonRubyvector databasesRetrieval-Augmented GenerationEnterprise iPaaS

Soft Skills

problem-solvingcritical thinkingability to execute under minimal supervisionmotivated to learn new technologiesinnovation in automation

Certifications

Workato Automation ProWorkato FoundationsSnowPro