AI DevOps Engineer (México)

AI DevOps Engineer (México)

10 ago
|
Ingersoll Rand Careers
|
México

10 ago

Ingersoll Rand Careers

México

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 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 RES

📌 AI DevOps Engineer (México)
🏢 Ingersoll Rand Careers
📍 México

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