Vertiv

Builds power and cooling systems for data centers

AI Integration Engineer

AI Application EngineeringPosted on Nov 10

Full-timeWesterville, OH, USANo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is required.
At least 5 years of software or integration engineering experience is required.
At least 3 years of experience with Workato or similar iPaaS platforms is required.
Experience with enterprise APIs, cloud integration, SaaS platforms, and AI architectures is required.
Experience leading AI initiatives or enterprise technology implementations is required.
Strong Workato expertise is required.
A deep understanding of REST APIs, OAuth, webhooks, and event-driven architecture is required.
Experience with GPT, Claude, Gemini, Llama, LangChain, and Llama Index is required.
Proficiency in Python, JavaScript, Ruby, or similar programming languages is required.
Knowledge of AWS, CI/CD, containerization, and enterprise applications including Salesforce, SAP, ServiceNow, and Snowflake is required.
Familiarity with React, Tailwind, and modern front-end frameworks is required.

Responsibilities

Develop and maintain Workato integrations, recipes, connectors, and AI-powered workflows.
Design generative AI solutions using retrieval-augmented generation (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.

Desired Qualifications

An advanced degree in AI, Machine Learning, or Data Science is preferred.
Workato certification is preferred.
AI/ML training or certifications are preferred.
Experience with UiPath, Power Automate, agentic workflows, and responsible AI practices is preferred.
Knowledge of Agile, Jira, Kafka, Spark, Snowflake, and compliance-focused integration design is preferred.

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.

About the Company

Vertiv

Builds power and cooling systems for data centers

Vertiv builds power and cooling equipment that keeps data centers, communication networks, and industrial facilities running through outages and heavy computing loads. Its Liebert cooling systems manage the heat generated by servers, while its power products protect equipment and distribute electricity. The company sells equipment directly and through distributors, then earns additional revenue from installation, maintenance, spare parts, and services throughout the equipment life cycle. Its portfolio also includes racks and software for monitoring and managing IT equipment. Vertiv became a standalone company in 2016 and is headquartered in Westerville, Ohio.

Company size: 10,001+
Company stage: IPO
Headquarters: Westerville, OH
Founded: 2016

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