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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
If 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 better
We 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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Postúlate en Kit Empleo: kitempleo.com.mx/empleo/57nz5w

📌 Senior Ai Engineer (Tapachula de Córdova y Ordoñez)
🏢 Ingersoll-Rand
📍 Tapachula de Córdova y Ordoñez