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Role Summary

Enable and scale Ingersoll Rand’s GenAI program by designing, building, and operating the production infrastructure that powers AI-driven applications across the enterprise. This role focuses on
DevOps, cloud infrastructure, CI/CD, observability, and platform reliability
for GenAI systems built on
LLM APIs and Snowflake-native capabilities
.

Own the operational lifecycle of LLM-powered systems including prompt versioning, model configuration, cost controls,



and production reliability across Snowflake-native and API-based GenAI platforms.

You will work closely with AI engineers and application developers to turn prototypes into
secure, reliable, observable, and scalable AI applications
, ensuring smooth integration with enterprise systems and data platforms. This is a DevOps and platform engineering role with a strong focus on production-grade AI systems.

The Core Challenge

GenAI 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 R

📌 AI DevOps Engineer (Ciudad de México)
🏢 Ingersoll Rand
📍 Ciudad de México