Senior AI Engineer: GenAI & Production Workflows

1801 Haleon Argentina S.A.; Quilmes; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Remote work flexibility

USD-based compensation

Paid time off and benefits

International certifications

Job summary

Overseas is seeking a Senior Data and AI - Cloud Solution to partner with customers, sales, engineering and product teams. You will design data platforms, ETL/ELT pipelines, and analytics architectures, choosing lake, lakehouse or warehouse patterns to meet business goals.

You will lead technical discussions, build POCs, and guide customers from discovery to production adoption, with OCI/multicloud considerations and strong emphasis on scalable, secure, and cost-aware solutions.

Qualifications

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

Responsibilities

• 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 across platforms.
• Assist customers with architecture trade-offs on security, governance, performance, and cost.
• Ensure reliable operation with monitoring and failure recovery.
• Lead technical discussions, demos, and proofs of concept to production.

Skills

Data engineering

Data architecture

Distributed processing

Cloud data services

Customer engagement

Tools

Spark

Databricks

Snowflake

BigQuery

OCI

Job description

Overseas is seeking a Senior Data and AI - Cloud Solution to partner with customers, sales, engineering and product teams. You will design data platforms, ETL/ELT pipelines, and analytics architectures, choosing lake, lakehouse or warehouse patterns to meet business goals.

You will lead technical discussions, build POCs, and guide customers from discovery to production adoption, with OCI/multicloud considerations and strong emphasis on scalable, secure, and cost-aware solutions.