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 SummaryEnable 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 ChallengeGenAI 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 ResponsibilitiesGenAI Platform & InfrastructureDesign, build, and maintain cloud infrastructure to host GenAI applications using GCP and Snowflake container servicesSupport Snowflake-based AI workflows including data ingestion, Cortex Agents, Analyst, and SearchDefine standardized,



reusable infrastructure patterns for AI applications across development, staging, and production environmentsImplement cost-aware infrastructure patterns (warehouse sizing, service isolation, token budgeting) for GenAI workloadsExplore, build, and support proof‐of‐concept initiatives to evaluate emerging GenAI and MLOps platforms and architectures, focusing on deployment, orchestration,

and reliability practicesStrong experience with CI/CD pipelines (GitHub Actions preferred)Hands‐on experience with containerized applications (Docker; Kubernetes or managed container platforms)Experience operating workloads on GCP or similar cloud platformsProficiency with Infrastructure-as-Code tools (Terraform or equivalent)Strong scripting skills (Python and/or Bash)Experience implementing monitoring, logging, and observability for production systemsExperience supporting API-based applications and integrationsAbility to troubleshoot and operate complex distributed systemsStrong communication skills and ability to collaborate across technical and business teamsFluent in English (written and spoken)Bachelor's or Master's degree in Computer Science, Software Engineering, IT, or related field (or equivalent experience)Preferred QualificationsExperience with Snowflake,



including data ingestion pipelines and Snowflake-native applicationsFamiliarity with GenAI application architectures (RAG, agents, prompt orchestration, API-based LLM usage)Experience with Langfuse or similar AI observability toolsExperience integrating enterprise systems (SAP, Salesforce, SharePoint, etc.)Experience with data versioning tools (DVC, Pachyderm, LakeFS)Knowledge of vector databases and LLM infrastructure (Pinecone, Weaviate, Milvus, Chroma)Cloud or MLOps certifications (AWS Machine Learning Specialty, AWS Solutions Architect, Kubernetes CKA/CKAD, Azure AI Engineer, GCP ML Engineer)Manufacturing or industrial IoT experienceExperience with compliance and governance frameworks for AI/ML systemsWhat This Role ISInfrastructure engineer who enables AI teams to move faster through automation and robust toolingSystems thinker who balances reliability, scalability and cost efficiencyBridge between AI innovation and production operations who translates complex requirements into practical solutionsContinuous learner who keeps current with rapidly evolving AI‐Ops ecosystem and cloud‐native technologiesIngersoll Rand Inc. (NYSE:IR), driven by an entrepreneurial spirit and ownership mindset, is dedicated to helping make life better for our employees, customers and communities.
Customers lean on us for our technology‐driven excellence in mission‐critical flow creation and industrial solutions across 40+ respected brands where our products and services excel in the most complex and harsh conditions.
Our employees develop customers for life through their daily commitment to expertise, productivity and efficiency.
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