{"id":4256194,"url":"https://alion.io/job/ingersoll-rand-ai-devops-engineer","title":"AI DevOps Engineer","company":{"id":2208189,"name":"Ingersoll Rand","domain":"irco.com","url":"https://alion.io/company/irco-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tlalnepantla, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"Langfuse","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SharePoint","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"AIOps","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Chroma","optional":true},{"name":"DVC","optional":true},{"name":"Machine Learning","optional":true},{"name":"Milvus","optional":true},{"name":"Pinecone","optional":true},{"name":"Prometheus","optional":true},{"name":"RAG","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-11-11T08:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-14T17:20:11Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"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.\nRole Summary\nEnable 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.\nOwn 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.\nYou 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.\nThe Core Challenge\nGenAI 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.\nThis 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.\nKey Responsibilities\nGenAI Platform & Infrastructure\nDesign, build, and maintain cloud infrastructure to host GenAI applications using GCP and Snowflake container services\nSupport Snowflake-based AI workflows including data ingestion, Cortex Agents, Analyst, and Search\nDefine standardized, reusable infrastructure patterns for AI applications across development, staging, and production environments\nImplement cost-aware infrastructure patterns (warehouse sizing, service isolation, token budgeting) for GenAI workloads\nExplore, 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.\nCI/CD & Automation\nBuild and maintain CI/CD pipelines using GitHub for AI applications and platform services\nAutomate infrastructure provisioning and environment configuration using Infrastructure-as-Code\nEnable safe, repeatable deployments with versioning, rollback, and environment promotion strategies\nObservability & Reliability\nImplement observability for GenAI systems using Langfuse and Snowflake observability tools to continuously improve AI system reliability and usefulness.\nMonitor application health, latency, usage, errors, and cost using dashboards, alerts, and runbooks to support reliable production operations.\nCloud & Container Operations\nManage containerized workloads across GCP and Snowflake containers\nEnsure secure networking, secrets management, access controls, and environment isolation\nOptimize performance, scalability, and cost for AI application workloads\nEnterprise Integrations\nSupport and operationalize integrations between GenAI applications and enterprise systems such as SAP, Salesforce, SharePoint, and other internal/external platforms\nEnsure reliability, security, and observability of API-based and event-driven integrations\nCollaboration & Enablement\nPartner closely with AI engineers, data engineers, and IT teams to remove operational blockers\nProvide documentation, templates, and best practices that enable teams to deploy and operate independently\nContribute to standards for security, reliability, and governance across the GenAI platform\nRequired Qualifications\n3+ years in DevOps, platform engineering, or software infrastructure roles; 1-2+ years specifically with ML/AI infrastructure or MLOps\nExperience operating LLM-based applications in production, including prompt management, cost monitoring, and reliability practices\nStrong experience with CI/CD pipelines (GitHub Actions preferred)\nHands-on experience with containerized applications (Docker; Kubernetes or managed container platforms)\nExperience operating workloads on GCP or similar cloud platforms\nProficiency with Infrastructure-as-Code tools (Terraform or equivalent)\nStrong scripting skills (Python and/or Bash)\nExperience implementing monitoring, logging, and observability for production systems\nExperience supporting API-based applications and integrations\nAbility to troubleshoot and operate complex distributed systems\nStrong communication skills and ability to collaborate across technical and business teams\nFluent in English (written and spoken)\nBachelor’s or Master’s degree in Computer Science, Software Engineering, IT, or related field (or equivalent experience)\nPreferred Qualifications\nExperience with Snowflake, including data ingestion pipelines and Snowflake-native applications\nFamiliarity with GenAI application architectures (RAG, agents, prompt orchestration, API-based LLM usage)\nExperience with Langfuse or similar AI observability tools\nExperience integrating enterprise systems (SAP, Salesforce, SharePoint, etc.)\nExperience with data versioning tools (DVC, Pachyderm, LakeFS)\nKnowledge of vector databases and LLM infrastructure (Pinecone, Weaviate, Milvus, Chroma)\nCloud or MLOps certifications (AWS Machine Learning Specialty, AWS Solutions Architect, Kubernetes CKA/CKAD, Azure AI Engineer, GCP ML Engineer)\nManufacturing or industrial IoT experience\nExperience with compliance and governance frameworks for AI/ML systems\nWhat This Role IS\nInfrastructure engineer who enables AI teams to move faster through automation and robust tooling\nSystems thinker who balances reliability, scalability, and cost efficiency\nBridge between AI innovation and production operations who translates complex requirements into practical solutions\nContinuous learner who keeps current with rapidly evolving AI-Ops ecosystem and cloud-native technologies\nIngersoll 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. For more information, visit www.IRCO.com.","description_format":"text","description_chars":7057,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Machinery"],"lifecycle":[{"event":"open","at":"2026-11-13T14:14:29Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":30,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-14T05:58:10Z"},"pay":null,"html_url":"https://alion.io/job/ingersoll-rand-ai-devops-engineer","json_url":"https://alion.io/job/ingersoll-rand-ai-devops-engineer.json","meta":{"generated_at":"2026-11-14T18:44:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22455,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2208189},"rest":"https://alion.io/mcp/rest/get_company?id=2208189"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fingersoll-rand-ai-devops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fingersoll-rand-ai-devops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fingersoll-rand-ai-devops-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ingersoll-rand-ai-devops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fingersoll-rand-ai-devops-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4256194}},{"tool":"search_jobs","arguments":{"company":"irco.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4256194},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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