Ingersoll Rand is committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Role Summary Enable and scale Ingersoll Rand’s Gen AI program by designing, building, and operating the production infrastructure that powers AI-driven applications across the enterprise. This role focuses on Dev Ops, cloud infrastructure, CI/CD, observability, and platform reliability for Gen AI systems built on LLM APIs and Snowflake-native capabilities . The Core Challenge




Gen AI teams can build powerful applications quickly using LLM APIs—but productionizing them at enterprise scale is hard. Challenges include environment consistency, secure data access, observability, cost control, CI/CD automation, and reliable integrations with core business systems.
This role bridges that gap by providing standardized infrastructure, deployment pipelines, and operational frameworks so AI teams can move fast without sacrificing reliability, security, or governance. Key Responsibilities Gen AI Platform & Infrastructure Design, build, and maintain cloud infrastructure to host Gen AI applications using GCP and Snowflake container services Support Snowflake-based AI workflows including data ingestion, Cortex Agents, Analyst, and Search Define standardized, reusable infrastructure patterns for AI applications across development, staging, and production environments Implement cost-aware infrastructure patterns (warehouse sizing, service isolation, token budgeting) for Gen AI workloads Explore,

📌 Ai devops engineer (México)
🏢 Ingersoll Rand
📍 México