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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 on applied AI engineering and LLM‑based systems built on Snowflake, Cortex AI, Vertex AI, and cloud‑native platforms.You will partner with engineering and business teams to transform AI prototypes into reliable, production‑ready solutions, owning delivery with a strong 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 role bridges experimentation and production by building AI systems that integrate seamlessly with enterprise data, analytics, and operational platforms.Key ResponsibilitiesGenerative AI & AI Assistant Development Design and deploy LLM‑powered AI assistants for sales and technical support use casesImplement retrieval‑augmented generation (RAG) using embeddings, vector search, and enterprise dataDevelop Generative AI solutions using Snowflake Cortex AI, Vertex AI, and external LLM APIsSoftware Development Design and develop web‑based AI applications, building backend services and features in Python that 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 solutions using modern pipelines, ensuring production reliability and scalabilityData Engineering & Analytics Process and analyze large datasets using SnowflakeDesign, build,



and maintain ETL pipelinesDevelop data models supporting analytics and AI workloadsEngineering & Platform Practices Build reusable AI components, APIs, and shared servicesPartner with platform and IT teams to ensure secure, standardized deploymentsContribute to engineering standards for testing, CI/CD, observability, and documentationVisualization & Business Enablement Develop dashboards and insights using QlikCommunicate AI outcomes and insights to business stakeholdersCollaboration & Governance Drive projects end‑to‑end with a product owner mindsetEnsure data security, compliance, and AI governanceStay current with advances in AI and Generative AI technologiesRequired QualificationsBachelor’s or Master’s degree in Data Science, Computer Science, or a related field5+ years of experience in AI engineering, data science, or machine learningStrong proficiency in Python and SQLHands‑on experience with LLMs and Generative AI systemsExperience with Snowflake and cloud platformsStrong communication and problem‑solving skillsPreferred QualificationsExperience with Snowflake Cortex AI and Google Vertex AIExperience with embeddings, vector databases, and RAG architecturesManufacturing or industrial domain experienceFamiliarity with MLOps 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 impactIngersoll 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. For more information, visit www.IRCO.Com.#J-18808-Ljbffr

Postúlate en Kit Empleo: kitempleo.com.mx/empleo/53xsje

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