Ai Engineer (Rag) - Remote Work

BairesDev; Quilmes; Remote; ARS 3,200,000 - 5,200,000; Full time

Job summary

BairesDev is seeking an experienced Senior Data and AI - Cloud Solution expert to partner with customers, sales, engineering and product teams to design, demonstrate, and deploy Oracle Cloud architectures addressing business problems. You will accelerate Oracle cloud service adoption through discovery, design, and deployment.

The role focuses on building scalable data platforms, data pipelines, and data governance to enable analytics and ML initiatives, including generative AI use cases when

Qualifications

• 8+ years of experience in data engineering or data architecture.
• Practical knowledge of distributed processing and modern analytics architectures.
• Experience with Spark, Databricks, Snowflake, BigQuery, or cloud data services.
• Ability to connect architecture decisions to business outcomes and explain trade-offs.
• Experience working directly with customers from discovery through delivery.
• Experience with OCI and multicloud architectures is a plus.

Responsibilities

• Discover customer's data challenges, priorities, growth expectations, and success criteria.
• Design data platforms for integration, storage, processing, and analytics.
• Recommend data lake, lakehouse, or data warehouse approaches based on customer needs.
• Design batch and real-time pipelines, including ETL/ELT and integrations.
• Help customers make informed architecture trade-offs across security, governance, and cost.
• Design for reliable operation with monitoring and failure recovery.
• Lead technical discussions, demonstrations, and proofs of concept with customers.
• Collaborate with customer and internal teams to resolve integration and operational issues.
• Build the data foundation for analytics, machine learning, and generative AI use cases.

Skills

Distributed processing

Data integration

Modern analytics architectures

Spark

Databricks

Snowflake

BigQuery

Cloud data services

Customer engagement

OCI

Multicloud

Job description

Senior Data and Artificial Intelligence - Cloud Solution

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.

What you’ll do

• Discover customer's data challenges, priorities, growth expectations, and success criteria.
• Design data platforms for integration, storage, processing, and analytics.
• Recommend data lake, lakehouse, or data warehouse approaches based on each customer’s needs and existing environment.
• Design batch and real‑time pipelines, including ETL/ELT and integration across platforms.
• Help customers make informed architecture trade‑offs across security, data governance, performance, scalability, resilience, operational needs, and cost.
• Design for reliable operation, including monitoring, failure recovery, and the ability to adapt as demand grows.
• Lead technical discussions, demonstrations, and proofs of concept, and help customers bring validated solutions into production.
• Work with customer and internal teams to resolve integration and operational challenges and support long‑term adoption.
• Build the data foundation for analytics, machine learning, and generative AI use cases when relevant.

What we’re looking for

• 8+ years of experience in data engineering, data architecture, or related roles, including hands‑on experience designing enterprise data platforms that scale with demand, recover from failures, and operate reliably in production.
• Practical knowledge of distributed processing, data integration, and modern analytics architectures.
• Experience with technologies such as Spark, Databricks, Snowflake, BigQuery, or cloud data services.
• The ability to connect architecture decisions to business outcomes and explain trade‑offs to different audiences.
• Experience working directly with customers from discovery through delivery.
• Experience with OCI and multicloud architectures is a plus.

If you enjoy understanding what customers need, navigating complex data environments, and helping teams put reliable solutions into production, we’d like to hear from you.