AI Automation Engineer

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.

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.
• 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.
• Develop and automate ELT/ETL processes to support both BI Analytics and AI retrieval across similar datasets with different access patterns.
• 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.
• Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks.
• Document agent behavior, decision logic and failure modes.
• A/B test agent versions, model comparisons.

Requirements

• 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).
• 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.
• 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.
• Proficiency with Snowflake, Salesforce, and NetSuite, with strong architectural and automation design skills preferred.
• Workato Automation Pro or SnowPro certifications preferred.

Qualifications

• Track record of introducing innovation in automation and AI while maintaining governance and system reliability.

Skills

• Deep technical execution skills in integration development, data modeling, and programming.
• Practical understanding of AI workflows.

Benefits

Our benefits package includes healthcare benefits, discounts through Dell, and resources to help you stay healthy and balanced. We also offer a wellness and childcare subsidy and a University/Education discount for Costa Rica residents. 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.

Pay

Our pay 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.

Schedule

Details on the schedule will be provided upon hire.