AI Engineer

Vertiv•Westerville, OH

6h•Onsite

About The Position

The AI Engineer will design, build, and operationalize full stack AI applications that power Vertiv’s Enterprise AI Platform and other AI initiatives; and support the development and deployment of AI services and applications under guidance, contributing to components of retrieval pipelines and integrations with enterprise systems. This role focuses on developing foundational AI solutions while learning enterprise standards, governance, and scalability practices. This position will be based onsite at Vertiv's Westerville, OH - HQ location. The successful candidate will embrace Vertiv’s Core Principals & Behaviors to help execute our Strategic Priorities. OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion. OUR STRATEGIC PRIORITIES Customer Focus Operational Excellence High-Performance Culture Innovation Financial Strength OUR BEHAVIORS Own It Act With Urgency Foster a Customer-First Mindset Think Big and Execute Lead by Example Drive Continuous Improvement Learn and Seek Out Development Promote Transparent & Open Communication At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $8.0 billion in sales, a strong customer base and global reach in nearly 130 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people. Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to [email protected] . If you are interested in applying or learning more about this role, please visit the company’s career page located on Vertiv.com/Careers Work Authorization No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. #LI-RB1 Work Authorization No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
0–2+ years of professional or internship experience in software development.
Exposure to GenAI or LLM-based applications through coursework, projects, or early professional experience.
Strong experience with Python and SQL; experience building APIs and data driven services.
Foundational knowledge of LLMs, prompt engineering, or related concepts.
Familiarity with cloud environments (AWS or similar) and basic deployment concepts.
Ability to contribute to technical solutions and collaborate with team members to meet business requirements.
Python, SQL, REST APIs, GenAI frameworks (foundational level).
AWS cloud services, containers, CI/CD, and observability (basic understanding).
Azure software development and compliance awareness.
Clear technical documentation and communication.

Nice To Haves

Experience with Snowflake for analytics, data access, or ML adjacent workloads.
Experience building internal AI tools or lightweight web apps for business users.
Basic familiarity with AI workflows or frameworks is a plus.
Exposure to AI evaluation or monitoring concepts is a plus.

Responsibilities

Assist in developing components of AI applications across the stack, including web interfaces, backend APIs, and AI services deployed on AWS.
Support the development and maintenance of Retrieval Augmented Generation (RAG) pipelines, including document ingestion, embeddings, and retrieval processes.
Develop and enhance AI services and APIs following established standards and guidance.
Contribute to implementation of AI capabilities and assist with enabling usage by application teams and business users.
Integrate approved large language models through existing APIs with guidance from senior team members.
Assist with connecting AI applications to enterprise data sources such as Snowflake under defined patterns.
Consume and work with secure APIs and follow established governance, security, and compliance practices.
Contribute to CI/CD pipelines and deployment processes using established tools and frameworks.
Support monitoring and evaluation of AI solutions using existing observability tools and metrics.
Collaborate with team members and stakeholders to support delivery of AI use cases.
Document work, processes, and technical components following team standards.