Engineer – Data Platforms & Artificial Intelligence

Bogota, Distrito Capital, Colombia

Actively hiring, first seen by us 7 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Design and implement Oracle Cloud solutions with customers, including code and scripting
Support customers from proof of concept through production deployment
Gather customer requirements and translate business needs into architectures
Give customized technical demonstrations to customers and at events
Create technical assets such as white papers, solution code and video demos

From the employer’s posting

Implements solutions and ensures successful deployments through code development and scripting.

Supports customer from Proof of Concept (POC) through production deployment of services via resource configuration, planning, and customer education/training.

May work directly with customers to gather requirements, develop architectures and translates business needs into solutions.

Displays product/application understanding through more customized presentation demonstrations to customers and at conferences and events.

Creates and distributes technical assets (white papers, solution code, blog posts, and video demonstrations).

What you’ll bring

All qualifications

Core experience

Experience with data platforms such as Databricks, Snowflake, BigQuery or Spark
Experience with cloud architectures and services (OCI, AWS, Azure or GCP)
Knowledge of large-scale data processing and analysis
Experience applying AI, machine learning and LLMs on data platforms
Experience with ETL/ELT pipelines and modern analytics solutions

Qualification wording

Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark.

Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP).

Conocimiento en procesamiento y explotación de datos a gran escala.

Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos.

Manejo de pipelines ETL/ELT y soluciones analíticas modernas.

Tools in this posting

AWS
Azure
BigQuery
Databricks
GCP
Snowflake
Spark

Source

* Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark. * Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP). * Conocimiento en procesamiento y explotación de datos a gran escala.

Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment. Short Description * Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark. * Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP). * Conocimiento en procesamiento y explotación de datos a gran escala. * Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos. * Manejo de pipelines ETL/ELT y soluciones analíticas modernas. * Experiencia en RAG, vector databases y fine-tuning de modelos. Description Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment. Responsibilities * Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark. * Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP). * Conocimiento en procesamiento y explotación de datos a gran escala. * Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos. * Manejo de pipelines ETL/ELT y soluciones analíticas modernas. * Experiencia en RAG, vector databases y fine-tuning de modelos.

Short Description * Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark. * Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP). * Conocimiento en procesamiento y explotación de datos a gran escala. * Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos. * Manejo de pipelines ETL/ELT y soluciones analíticas modernas. * Experiencia en RAG, vector databases y fine-tuning de modelos. Description Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment. Responsibilities * Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark. * Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP). * Conocimiento en procesamiento y explotación de datos a gran escala. * Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos. * Manejo de pipelines ETL/ELT y soluciones analíticas modernas. * Experiencia en RAG, vector databases y fine-tuning de modelos. Responsible for participating in customer engagements to collaboratively design and implement solutions. May work directly with customers to gather requirements, develop architectures and translates business needs into solutions. Implements solutions and ensures successful deployments through code development and scripting. Displays product/application understanding through more customized presentation demonstrations to customers and at conferences and events. Supports customer from Proof of Concept (POC) through production deployment of services via resource configuration, planning, and customer education/training. Creates and distributes technical assets (white papers, solution code, blog posts, and video demonstrations). Serves as a technical point of contact for customers and sales on technical cloud solutions and customer success. Further builds business and technical acumen.

Short Description * Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark. * Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP).

Responsibilities * Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark. * Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP).

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Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 6, 20267 days ago
Recorded sightings: 7
Last seen by us: Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 4 and day 77.

At Oracle, jobs usually come down by about day 34.

From 51 similar postings that came down, and 112 of Oracle’s. Coming down is not always a hire.

Oracle is hiring

93 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Takes jobs down at a usual pace
2% of open jobs were reposted

Hiring record

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About Oracle

People: About 141,000 in 2026, down 13% from the year before.Annual report (SEC Form 10-K)
Company: Listed as ORCL.
H-1B visas: 994 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices: Notices this year and last cover 1,693 people. The latest was filed September 14, 2026.State WARN notices

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

August 17Last week

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About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

Short Description
* Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark.
* Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP).
* Conocimiento en procesamiento y explotación de datos a gran escala.
* Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos.
* Manejo de pipelines ETL/ELT y soluciones analíticas modernas.
* Experiencia en RAG, vector databases y fine-tuning de modelos.
Description
Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment.

Responsibilities
* Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark.
* Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP).
* Conocimiento en procesamiento y explotación de datos a gran escala.
* Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos.
* Manejo de pipelines ETL/ELT y soluciones analíticas modernas.
* Experiencia en RAG, vector databases y fine-tuning de modelos.

Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment.

Responsible for participating in customer engagements to collaboratively design and implement solutions. May work directly with customers to gather requirements, develop architectures and translates business needs into solutions. Implements solutions and ensures successful deployments through code development and scripting. Displays product/application understanding through more customized presentation demonstrations to customers and at conferences and events. Supports customer from Proof of Concept (POC) through production deployment of services via resource configuration, planning, and customer education/training. Creates and distributes technical assets (white papers, solution code, blog posts, and video demonstrations). Serves as a technical point of contact for customers and sales on technical cloud solutions and customer success. Further builds business and technical acumen.

Source details

View original posting ↗

Source notes

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Pay

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Location & working pattern

Bogota, Distrito Capital, Colombia

Working pattern and location restrictions need checking in the full posting.

Work authorization

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Open source at eeho.fa.us2.oraclecloud.com ↗Read the full description ↓

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