AI / ML Platform Engineer

Job Summary

Vertiv is seeking a technically skilled and innovative AI / ML Platform Engineer to support, administer, and extend Vertiv’s production AI platforms — including Writer AI and Compass AI — while owning the development of prompt engineering standards, and AI governance frameworks.

Responsibilities

• Serve as the primary technical owner for Vertiv’s Writer AI and Compass AI platform instances, managing configuration, tenant administration, integrations, user access controls, and platform health to ensure reliable, production-grade availability across the enterprise.
• Design, develop, test, and continuously refine prompts and prompt templates for LLM-powered applications, establishing enterprise-wide prompt engineering standards, libraries, and versioning practices that maximize model accuracy, consistency, and safety.
• Architect and implement end-to-end Retrieval-Augmented Generation (RAG) pipelines — including document ingestion, chunking strategies, embedding generation, and vector search integration — to ground LLM outputs in authoritative Vertiv knowledge sources and reduce hallucination risk.
• Define and enforce AI usage policies, content safety guardrails, data handling standards, and compliance controls across all GenAI platforms and applications, partnering with Legal, Compliance, IT Security, and NPDi teams to ensure responsible AI practices aligned to Vertiv’s risk framework.
• Implement and maintain LLMOps tooling for production AI systems, including prompt performance monitoring, output quality tracking, cost management, latency observability, and model drift detection, ensuring that AI applications remain performant, reliable, and cost-effective at scale.
• Collaborate cross-functionally on AI initiatives, partnering with technology and business stakeholders to translate requirements into technical AI solutions, provide platform consulting for new GenAI use cases, and serve as a technical subject matter expert on LLM capabilities, limitations, and integration patterns.
• Develop systematic evaluation frameworks and benchmarks for assessing LLM output quality, prompt effectiveness, RAG retrieval accuracy, and model behavior — enabling data-driven decisions on model selection, prompt iteration, and platform evolution.
• Stay current on GenAI advancements, continuously monitoring advancements in generative AI, large language models, agentic AI frameworks, and enterprise AI platforms; evaluate emerging tools and techniques for applicability to Vertiv’s AI roadmap and provide actionable recommendations to Digital leadership.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field; equivalent practical experience considered.
• 5+ years of professional experience in software engineering, AI/ML engineering, or a related technical discipline.
• 3+ years of hands-on experience building and deploying GenAI / LLM-based applications or platforms in a production enterprise environment.
• Demonstrated experience with prompt engineering, RAG pipeline development, and LLM API integration in real-world production systems.
• Experience with enterprise AI platform administration (e.g., Writer AI, Compass AI, or equivalent SaaS AI platforms) is strongly preferred.

Technical Skills

• Proficiency in Python for AI/ML engineering, data processing, and pipeline development.
• Hands-on experience with RAG architectures, vector search technologies (e.g., Pinecone, Weaviate, pgvector, OpenSearch), and embedding models.
• Experience with LLM APIs and frameworks (e.g., OpenAI, Anthropic, LangChain, LlamaIndex, or equivalent) for building production AI applications.
• Familiarity with AWS AI/ML services (SageMaker, Bedrock, or equivalent) and cloud-native deployment patterns.
• Experience with CI/CD pipelines and DevOps tooling (Gitlab, Jenkins, GitHub Actions, Azure DevOps, or equivalent) for AI application delivery.
• Experience with prompt engineering best practices, prompt versioning, and LLMOps tooling (e.g., MLflow, LangSmith, Weights & Biases, or equivalent).

Preferred Qualifications

• AWS AI/ML certifications (AWS Certified Machine Learning – Specialty, or AWS Certified AI Practitioner).
• Direct hands-on experience with Writer AI and/or Compass AI platform administration and integration.
• Familiarity with enterprise LLMOps tooling, AI observability platforms, and model evaluation frameworks.
• Experience with Snowflake or other cloud data platforms for AI/ML data pipelines and feature engineering.
• Exposure to AI governance frameworks, responsible AI principles, and enterprise AI policy development.
• Experience working in Agile/Scrum delivery environments with cross-functional digital product teams.

About Vertiv

Vertiv is a $10.2 billion global critical infrastructure and data center technology company. We ensure customers’ vital applications run continuously by bringing together hardware, software, analytics and ongoing services. Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.