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. Areas 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. Production observability: prompt/response tracing, cost monitoring, evaluation dashboards. Document agent behavior, decision logic and failure modes; A/B test agent versions and 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 with 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. 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. Competitive Compensation & Benefits Compensation is based on experience, qualifications, and geographic location and will be disclosed during the hiring process. Eligible employees also receive a robust benefits package aligned with our commitment to overall well‑being. Equal Opportunity Employer NOTE: Tebra is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr