GenAI Data Engineer & LLM Solutions Architect

1913 Accenture SC ATC Company

Monterrey

Híbrido

MXN 900.000 - 1.300.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Career development
Innovative tools
Global experts
Cutting-edge tech
Constant training
Teamwork culture
International projects

Descripción de la vacante

Accenture is seeking an innovative AI Data Engineer to design, develop, and deploy scalable AI solutions leveraging Generative AI, LLMs, and RAG workflows. The role emphasizes Python-based pipelines, SQL data modeling, and cloud-native deployment in enterprise environments.

Hybrid position based in Monterrey or Mexico City, with opportunities to collaborate across global teams and access cutting-edge tools and methodologies. Strong English communication and problem-solving are essential.

Formación

  • AI/ML experience of 3+ years.
  • Experience with Large Language Models (LLMs).
  • Proficiency in Python and SQL.
  • Experience designing AI-powered data platforms.

Responsabilidades

  • Design, develop, and deploy AI/ML solutions for enterprise-scale apps.
  • Build and optimize LLM-powered apps and RAG architectures.
  • Develop scalable Python backends and AI pipelines.
  • Design complex SQL data models for analytics and AI workloads.
  • Work with Databricks and Snowflake data platforms.
  • Integrate AI services via REST APIs and cloud architectures.
  • Collaborate with Data Engineers, Data Scientists, Architects, and Product Owners.

Conocimientos

Artificial Intelligence
Machine Learning
Large Language Models
Python
SQL

Herramientas

Databricks
Snowflake
REST APIs
LangChain

Descripción del empleo

Accenture is seeking an innovative AI Data Engineer to design, develop, and deploy scalable AI solutions leveraging Generative AI, LLMs, and RAG workflows. The role emphasizes Python-based pipelines, SQL data modeling, and cloud-native deployment in enterprise environments.

Hybrid position based in Monterrey or Mexico City, with opportunities to collaborate across global teams and access cutting-edge tools and methodologies. Strong English communication and problem-solving are essential.

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