Select how often (in days) to receive an alert: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 SummaryDesign and deliver Generative AI and data products that power AI assistants for sales and technical support teams across Ingersoll Rand.
This role focuses onapplied AI engineering and LLM‐based systemsbuilt onSnowflake, Cortex AI, Vertex AI, and cloud‐native platforms.You will partner with engineering and business teams totransform AI prototypes into reliable, production‐ready solutions, owning delivery with astrong technical foundation and product mindset.The Core ChallengeIngersoll Rand is expanding the use of Generative AI to enhance sales and technical support workflows.
While LLMs enable rapid experimentation,delivering trusted, governed AI solutions at enterprise scale requires disciplined engineering.This rolebridges experimentation and productionby building AI systems that integrate seamlessly withenterprise data, analytics, and operational platforms.Key ResponsibilitiesDesign and deploy LLM‐powered AI assistantsfor sales and technical support use casesImplementretrieval‐augmented generation (RAG)using embeddings, vector search, and enterprise dataDevelop Generative AI solutions usingSnowflake Cortex AI, Vertex AI, and external LLM APIsSoftware DevelopmentDesign and develop web‐based AI applications,



building backend services and features inPythonthat integrate AI models and enterprise dataOwn the full software development lifecycle, writing clean, testable code with appropriate unit and integration testsBuild, test, and deploy AI solutionsusing modern pipelines, ensuring production reliability and scalabilityProcess and analyze large datasets usingSnowflakeDesign, build, and maintainETL pipelinesDevelopdata modelssupporting analytics and AI workloadsBuildreusable AI components, APIs, and shared servicesPartner with platform and IT teams to ensuresecure, standardized deploymentsContribute to engineering standards fortesting, CI/CD, observability, and documentationVisualization & Business EnablementDevelop dashboards and insights usingQlikCommunicate AI outcomes and insightsto business stakeholdersDrive projects end‐to‐end with a product owner mindsetEnsuredata security, compliance, and AI governanceStay current with advances inAI and Generative AI technologiesRequired QualificationsBachelor's or Master's degree inData Science, Computer Science, or a related field5+ years of experiencein AI engineering, data science, or machine learningStrong proficiency in Python and SQLHands‐on experience with LLMs and Generative AI systemsExperience withSnowflake and cloud platformsStrong communication and problem‐solving skillsPreferred QualificationsExperience withSnowflake Cortex AI and Google Vertex AIExperience withembeddings, vector databases, and RAG architecturesManufacturing or industrial domain experienceFamiliarity withMLOps practicesWhat This Role IsAn applied AI engineering role focused on production systemsA bridge between advanced AI capabilities and real business valueA role for engineers who thrive on ownership and impactSpecial AccommodationIf you are a person with a disability and need assistance applying for a job, please submit a request.Lean on us to help you make life betterWe think and act like owners.We are committed to making our customers successful.We are bold in our aspirations while moving forward with humility and integrity.We foster inspired teams.
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📌 Senior Ai Engineer (Estado de México)
🏢 Ingersoll-Rand
📍 Estado de México