Seeking a Senior AI Automation Engineer to design, build, and optimize integrations, automations, and advanced AI workflows for enterprise business operations.

Company: Tebra

Role: Senior AI Automation Engineer

Location: United States - Remote

Experience:

5+ years of experience in integration, automation, AI, or software engineering
1+ year hands-on experience in Workato

Key Skills:

Workato
Mulesoft
Salesforce
NetSuite
Snowflake
Slack
Python
Ruby
SQL
JavaScript
APIs
vector databases
Pinecone
Snowflake Cortex Search
pgvector
AI/ML concepts
agentic architecture
Cloud Platforms
GCP
AWS
GitHub
Jira
Confluence
Lucid

Qualification:

Workato Automation Pro certification
Workato Foundations certification
SnowPro certification

Role Focus:

Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake
Implement error handling, observability, and reusable design patterns for reliability and scalability
Architect multi-agent systems including tool selection, planning loops, state management, and human-in-the-loop checkpoints
Partner with stakeholders to design corporate systems as agent-callable tools
Build guardrails, fallbacks, and error recovery for non-deterministic workflows
Design and automate data flow processes to support AI retrieval and insights generation
Build evaluation into systems to ensure high quality results considering precision, answer faithfulness, latency, and cost
Own the Retrieval-Augmented Generation lifecycle including ingestion, chunking, embeddings, vector storage, and reranking
Implement data quality checks and architectural safeguards for trusted datasets
Production observability including prompt/response tracing, cost monitoring, and evaluation dashboards
Document agent behavior, decision logic, and failure modes
Conduct A/B testing of agent versions and model comparisons
Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript for integration, data transformation, and automation
Apply data governance practices for lineage, security, and retention
Maintain technical documentation, diagrams, and version control using GitHub, Confluence, and Jira

Additional responsibilities:

Collaborate directly with stakeholders to translate business needs into scalable automated solutions
Deliver measurable improvements in system efficiency and operational performance
Strong problem-solving and critical thinking skills
Execute tasks under minimal supervision
Motivated to learn new technologies and develop new skills
Introduce innovation in automation and AI while maintaining governance and system reliability

Nice to have:

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

Other:

Competitive and fair compensation based on experience, qualifications, role requirements, and geographic zone
Geo-zone pay system with four zones reflecting cost of labor variations
Variable pay opportunity and robust benefits package
Compliance with California pay transparency laws

Senior AI Automation Engineer

Skills Required

Description