Vertiv
From Vertiv's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
The role partners with technical and business stakeholders to deliver secure, reliable, and governed integration architectures.
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.
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.
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.
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.
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