**Role Summary**Design 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 Challenge**Ingersoll 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 Responsibilities**Generative AI & AI Assistant Development- **Design and deploy LLM‐powered AI assistants** for sales and technical support use cases- Implement **retrieval‐augmented generation (RAG)** using embeddings, vector search, and enterprise data- Develop Generative AI solutions using **Snowflake Cortex AI, Vertex AI, and external LLM APIs**Software Development- **Own the full software development lifecycle**, writing clean, testable code with appropriate unit and integration tests- **Build, test, and deploy AI solutions** using modern pipelines, ensuring production reliability and scalabilityData Engineering & Analytics- Process and analyze large datasets using **Snowflake**:- Design, build,



and maintain **ETL pipelines**:- Develop **data models** supporting analytics and AI workloadsEngineering & Platform Practices- Build **reusable AI components, APIs, and shared services**:- Partner with platform and IT teams to ensure **secure, standardized deployments**:- Contribute to engineering standards for **testing, CI/CD, observability, and documentation**Visualization & Business Enablement- Develop dashboards and insights using **Qlik**:- **Communicate AI outcomes and insights** to business stakeholdersCollaboration & Governance- **Drive projects end‐to‐end with a product owner mindset**:- Ensure **data security, compliance, and AI governance**:- Stay current with advances in **AI and Generative AI technologies**Required Qualifications- Bachelor's or Master's degree in **Data Science, Computer Science, or a related field**:- **5+ years of experience** in AI engineering, data science, or machine learning- **Strong proficiency in Python and SQL**:- **Hands‐on experience with LLMs and Generative AI systems**:- Experience with **Snowflake and cloud platforms**:- Strong communication and problem‐solving skillsPreferred Qualifications- Experience with **Snowflake Cortex AI and Google Vertex AI**:- Experience with **embeddings, vector databases, and RAG architectures**:- Manufacturing or industrial domain experience- Familiarity with **MLOps practices**What This Role Is- An applied AI engineering role focused on production systems- A bridge between advanced AI capabilities and real business value- A role for engineers who thrive on ownership and impact

📌 Senior Ai Engineer (Xico)
🏢 Ingersoll Rand
📍 Xico