Role Summary:
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.

The Core Challenge:
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:
- Support Snowflake-based AI workflows including data ingestion, Cortex Agents, Analyst, and Search:
- Implement cost-aware infrastructure patterns (warehouse sizing, service isolation, token budgeting) for GenAI workloads
- Explore, build, and support proof-of-concept initiatives to evaluate emerging GenAI and MLOps platforms and architectures, focusing on deployment, orchestration, monitoring, and governance of LLM-based systems.

CI/CD & Automation:
- Automate infrastructure provisioning and environment configuration using Infrastructure-as-Code
- Enable safe,



repeatable deployments with versioning, rollback, and environment promotion strategies

Observability & Reliability:
- Implement observability for GenAI systems using Langfuse and Snowflake observability toolsto continuously improve AI system reliability and usefulness.

Cloud & Container Operations:
- Manage containerized workloads across GCP and Snowflake containers:
- Ensure secure networking, secrets management, access controls, and environment isolation

Enterprise Integrations:
- Ensure reliability, security, and observability of API-based and event-driven integrations

Collaboration & Enablement:
- Partner closely with AI engineers, data engineers, and IT teams to remove operational blockers
- Provide documentation, templates, and best practices that enable teams to deploy and operate independently
- Contribute to standards for security, reliability, and governance across the GenAI platform

Required Qualifications:

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