Summary Vertiv seeks an AI Integration Engineer to lead enterprise integration and AI automation initiatives. This hands-on technical leader will design and support scalable integrations using Workato and modern AI technologies, enabling seamless connectivity between enterprise applications, data platforms, and AI-powered solutions. The role partners with technical and business stakeholders to deliver secure, reliable, and governed integration architectures. Key Responsibilities • Develop and maintain Workato integrations, recipes, connectors, and AI-powered workflows. • Design Generative AI solutions using RAG, embeddings, vector stores, and agent-based architectures. • Establish API architecture, integration standards, governance, and security practices. • Deliver integrations across enterprise applications and digital platforms. • Architect AI-enabled front-end experiences and backend orchestration workflows. • Define monitoring, documentation, observability, and operational standards. • Evaluate emerging AI and integration technologies and recommend adoption strategies. • Provide technical leadership, mentorship, and cross-functional collaboration. Experience • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. • 5+ years in software or integration engineering. • 3+ years with Workato or similar iPaaS platforms. • Experience with enterprise APIs, cloud integration, SaaS platforms, and AI architectures. • Experience leading AI initiatives or enterprise technology implementations. • Technical Skills • Strong Workato expertise. • Deep understanding of REST APIs, OAuth, webhooks, and event-driven architecture. • Experience with GPT, Claude, Gemini, Llama, LangChain, and Llama Index. • Proficiency in Python, JavaScript, Ruby, or similar languages. • Knowledge of AWS, CI/CD, containerization, and enterprise applications including Salesforce, SAP, ServiceNow, and Snowflake. • Familiarity with React, Tailwind, and modern front-end frameworks. Preferred • Advanced degree in AI, Machine Learning, or Data Science preferred. • Workato certification. • AI/ML training or certifications. • Experience with UiPath, Power Automate, agentic workflows, and responsible AI practices. • Knowledge of Agile, Jira, Kafka, Spark, Snowflake, and compliance-focused integration design.