12 ago
|
Ingersoll-Rand
|
Estado de México
12 ago
Ingersoll-Rand
Estado de México
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.
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.
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.
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 acros
📌 AI DevOps Engineer (Estado de México)
🏢 Ingersoll-Rand
📍 Estado de México