Tebra
Healthcare
SeniorAIAutomationEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Automation Engineer at Tebra. Skills: AI Automation, Agentic architecture, Workato, RAG. Design integrations. Build integrations”
What You'll Achieve.
Deliver measurable improvements in system efficiency; Deliver measurable improvements in operational performance
Industry & Context.
Problem-solving; Critical thinking
What They're Looking For.
Must Have
5+ years integration, automation, AI, or software engineering, 1+ year hands-on in Workato, Proven expertise with Enterprise iPaaS, Hands-on technical background in programming, Experience using vector databases, Experience with AI/ML concepts, Experience implementing agentic architecture, Experience implementing AI workflows, Problem-solving skills, Critical thinking skills, Ability to execute under minimal supervision
Nice to Have
Cloud Platforms experience preferred, Workato Automation Pro certification preferred, Workato Foundations certification preferred, SnowPro certification preferred
What You'll Do.
Optimize integrations
Optimize AI workflows
Own Workato automation stack
Engineer scalable AI workflows
Implement agentic capabilities
Design Workato recipes
Build Workato recipes
Maintain Workato recipes
Design Workato connectors
Build Workato connectors
Maintain Workato connectors
Design Workato orchestrations
Build Workato orchestrations
Maintain Workato orchestrations
Implement error handling
Implement observability
Implement reusable design patterns
Architect multi-agent systems
Select tools for agents
Design planning loops
Implement human-in-the-loop checkpoints
Design corporate systems as agent-callable tools
Build guardrails for workflows
Build fallbacks for workflows
Build error recovery for workflows
Design data flow processes
Automate data flow processes
Support insights generation
Build evaluation into systems
Ensure high quality results
Implement data quality checks
Implement architectural safeguards
Ensure trusted datasets
Ensure high-fidelity datasets
Monitor production observability
Monitor prompt tracing
Monitor response tracing
Monitor cost monitoring
Monitor eval dashboards
Document agent behavior
Document decision logic
Document failure modes
Write modular scripts
Write reusable scripts
Support integration tasks
Support data transformation tasks
Support automation tasks
Apply data governance practices
Maintain technical documentation
Maintain version control
How You'll Work.
Team & Collaboration
Collaborate with stakeholders
Communication Scope
Technical documentation
Process & Methodology
Work tracking, Version control
Full Job Description
Tebra only initiates contact with candidates via email from an official Tebra email address (@tebra.com, @patientpop.com, or @kareo.com) or through our applicant tracking system, Greenhouse. We will only ask you to provide sensitive personal information through our official application portal — not via social media or text message. We do not conduct interviews via instant messaging. About the Role We are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations, automations, and advanced AI workflows, including agentic architecture, that power our enterprise business operations. You’ll own the Workato automation stack, engineer scalable AI workflows on top of core platforms (Salesforce, NetSuite, Snowflake, Slack), and implement agentic capabilities that allow systems to act as intelligent tools, reducing manual work and accelerating insights. This role requires deep technical execution skills in integration development, agentic system design, and programming, combined with a practical understanding of AI workflows. You will collaborate directly with stakeholders to translate business needs into scalable, automated solutions and deliver measurable improvements in 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 Design and automate data flow processes to support A
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