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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.

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 Responsibilities

GenAI Platform & Infrastructure
- Design, build, and maintain cloud infrastructure to host GenAI 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 GenAI workloads
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📌 AI DevOps Engineer (Ciudad de México)
🏢 Ingersoll Rand
📍 Ciudad de México