**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 scalability
Data Engineering & Analytics
- Process and analyze large datasets using **Snowflake**:
- Design, build,



and maintain **ETL pipelines**:
- Develop **data models** supporting analytics and AI workloads
Engineering & 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 stakeholders
Collaboration & 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 skills
Preferred 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 (Ciudad de México)
🏢 Ingersoll Rand
📍 Ciudad de México