Senior AI Engineer

Ingersoll-Rand plc; Americas; Presencial; MXN 1.424.248 - 2.136.372; Jornada completa

Descripción de la vacante

A global technology company is seeking an experienced AI engineer to design and deliver Generative AI solutions for sales and technical support teams. This role involves deploying LLM-powered AI assistants, developing data applications in Python, and collaborating across teams to ensure operational excellence. Ideal candidates will have a strong background in AI engineering, with hands-on experience in Generative AI systems and expertise in tools like Snowflake and Qlik. This opportunity emphasizes ownership and impactful engineering in a dynamic environment.

Formación

• 5+ years of experience in AI engineering, data science, or machine learning.
• Hands-on experience with LLMs and Generative AI systems.
• Experience with cloud platforms.

Responsabilidades

• Design and deploy LLM-powered AI assistants for sales and technical support.
• Develop Generative AI solutions using Snowflake Cortex AI and Vertex AI.
• Build, test, and deploy AI solutions ensuring production reliability.

Conocimientos

Proficiency in Python

Expertise in SQL

Experience with LLMs

Strong communication skills

Problem-solving skills

Educación

Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field

Herramientas

Snowflake

Qlik

Python

Descripción del empleo

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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 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

• 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

• Design and develop web‑based AI applications, building backend services and features in Python that integrate AI models and enterprise data
• 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
• Process and analyze large datasets using Snowflake
• Design, build, and maintain ETL pipelines
• Develop data models supporting analytics and AI workloads
• 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
• 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

Special Accommodation

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