AI Integration Engineer

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.