19 publicaciones de empleo destacadas de senior full stack software engineer, observability en progreso nacional, dif (¡Están contratando!)

Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
AI First Tech Lead (cloud-native Azure solutions)
PALO IT —Ciudad de México, CDMX
- Azure
- DevOps
- Liderazgo
Postulación rápida
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Software Engineer III - Java
JPMorganChase —Colonia Lomas de Chapultepec, CDMX
- Tiempo completo
- Oracle
- DevOps
- Inglés
Cybersecurity Network Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Licenciatura
- Python
Principal AI Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Forward Deployed Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- SQL
- Python
Postulación rápida
Global Network - Senior Manager for SONG
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Mercadotecnia
Marketing Data Scientist, Data & AI Enablement
Vonage —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Maestría
Postulación rápida
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
AI Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Agentic Commerce Manager - Mexico
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior Agent Manager, Agentforce & Data 360
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Inglés
Sr Advanced Cloud Developer
Honeywell —Azcapotzalco, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
Regional Director Sales - Mexico City
Dynatrace —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Salesforce
- Plan de adquisición de acciones empresariales
- Vacaciones adicionales o permisos con goce de sueldo
Strategic Account Executive
Datadog —Ciudad de México, CDMX
- Disponible para viajar
- Plan de adquisición de acciones empresariales
Postulación rápida
Data Platform Managed Services & Operations-Vice President
BlackRock Investments —Ciudad de México, CDMX
- Azure
Lead AI Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- Python
Sr Integration Developer - Bilingual
Concentrix —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Azure
- Administración de personal
Account Executive
Viavi Solutions —Ciudad de México, CDMX
- Tiempo completo
- CRM software
- Experiencia en ventas
- Mercadotecnia
7d

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AI First Tech Lead (cloud-native Azure solutions)
PALO IT —Ciudad de México, CDMX
As a Technical Lead focused on cloud-native Azure solutions, you will lead a development team in defining and executing architecture strategies to create robust…
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Quiero recibir la alerta de empleo más reciente para senior full stack software engineer, observability en progreso nacional, dif

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Senior AI Engineer

Ingersoll Rand -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Modelos de inteligencia artificial
Microsoft Excel
Derecho
Informática
Maestría
Experiencia en bases de datos
SQL
Licenciatura
Desarrollo de software
Experiencia en manufactura
Python
Ciencia de los datos

Descripción completa del empleo

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

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

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

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

Ingersoll 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. Customers lean on us for our technology-driven excellence in mission-critical flow creation and industrial solutions across 40+ respected brands where our products and services excel in the most complex and harsh conditions. Our employees develop customers for life through their daily commitment to expertise, productivity and efficiency. For more information, visit www.IRCO.com.

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