Workato AI Integration Developer : Remote

Position: Senior Workato AI Integration & Automation Engineer Location: Remote Duration : 12 Months Job Summary We are seeking a highly skilled AI Integration & Automation Engineer with a strong background in enterprise iPaaS, AI engineering, data integration, and automation. The ideal candidate will have hands-on expertise in Workato and experience designing scalable enterprise integrations, AI-driven workflows, and Retrieval-Augmented Generation (RAG) pipelines. This role requires a blend of integration engineering, AI workflow orchestration, automation development, and data engineering to build reliable, scalable, and intelligent enterprise systems. Key Responsibilities Integration & Automation Development • Design, develop, and maintain Workato recipes, connectors, and enterprise orchestrations across platforms including Salesforce, NetSuite, Slack, and Snowflake. • Implement reusable integration patterns, observability, monitoring, and error-handling mechanisms to ensure reliability and scalability. • Build scalable API-driven automation solutions supporting enterprise business processes. Agentic AI System Design • Architect and develop multi-agent AI systems including: • Tool selection frameworks • Planning loops • State management • Human-in-the-loop workflows • Transform enterprise platforms such as Salesforce, NetSuite, Snowflake, and Slack into agent-accessible tools rather than passive data sources. • Implement AI guardrails, fallback mechanisms, and recovery strategies for non-deterministic workflows. Data Engineering & RAG Pipeline Development • Design and automate ETL/ELT and Reverse-ETL pipelines supporting both analytics and AI retrieval use cases. • Own end-to-end RAG architecture including: • Data ingestion • Chunking strategies • Embedding pipelines • Vector databases • Retrieval optimization • Re-ranking systems • Build evaluation frameworks measuring precision, answer quality, latency, and operational cost. • Implement data enrichment, validation, governance, and quality assurance processes. AI Operations & Observability • Monitor production AI systems including prompt/response tracing, evaluation dashboards, and cost optimization. • Document agent behaviors, decision-making logic, and failure patterns. • Conduct A/B testing for model performance, agent versions, and workflow optimization. Programming & Automation • Develop modular and reusable scripts using Python, Ruby, SQL, or JavaScript for: • Data transformation • Workflow automation • Enterprise integrations • AI orchestration tasks Governance & Documentation • Apply enterprise data governance standards for lineage, security, compliance, and retention. • Maintain technical documentation, architecture diagrams, and workflow documentation using GitHub, Jira, Confluence, and Lucidchart. Required Qualifications • 5+ years of experience in AI engineering, integration engineering, automation engineering, software engineering, or data engineering. • Minimum 1+ year of hands-on experience with Workato. • Strong experience with enterprise iPaaS platforms such as Workato, MuleSoft, or similar technologies. • Expertise integrating enterprise systems including Salesforce, NetSuite, Slack, and Snowflake. • Strong background in: • ETL/ELT • Reverse ETL • Data modeling • SQL/T-SQL • API integrations • Proficiency in Python, Ruby, JavaScript, or similar programming languages. • Experience with vector databases including Pinecone, Snowflake Cortex Search, and pgvector. • Strong understanding of AI/ML concepts and enterprise AI workflow implementation. • Experience leveraging APIs to build scalable enterprise-grade integrations. • Hands-on experience with GitHub, Jira, and Confluence/Lucidchart. • Excellent problem-solving, analytical thinking, and independent execution skills. Preferred Qualifications • Experience with cloud platforms such as AWS or GCP. • Strong architectural knowledge of Snowflake, Salesforce, and NetSuite ecosystems. • Experience designing enterprise AI automation frameworks and governance models. • Workato Automation Pro, SnowPro, or related certifications. • Proven ability to introduce AI innovation while maintaining enterprise reliability, governance, and scalability. Desired Candidate Profile The ideal candidate is a senior-level engineer capable of: • Building reliable enterprise-grade Workato integrations • Designing intelligent AI agent systems • Developing and managing end-to-end RAG pipelines • Driving automation innovation while maintaining operational excellence and governance standards C Naveen Email : cnaveen@nexwaveinc.com