Foundry & AIP Engineer: Build AI-Driven Workflows

Luxoft Spain

Almería

Presencial

EUR 80.000 - 120.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Luxoft Spain in Almería, Andalucía, is seeking a Palantir Foundry Engineer to design, build, and operationalize AI-powered workflows and applications across the Foundry ecosystem. You will collaborate with stakeholders to translate complex needs into scalable solutions, and you will work hands-on with AIP features like RAG and copilots.

The role requires senior data engineering experience, strong Python/SQL skills, and the ability to own delivery while engaging business users.

Formación

  • Minimum 10 years of IT/Data experience.
  • Minimum 5 years as a Data Platform Engineer or Data Engineer.
  • 2+ years with Palantir Foundry ecosystem (integration, ontologies, pipelines, apps).
  • Strong Python, PySpark, SQL and data modelling skills.
  • Experience with AIP features such as RAG workflows, copilots, or agent-based apps.
  • Ability to work independently and engage non-technical business users.
  • Strong problem-solving and delivery ownership.

Responsabilidades

  • Data & Workflow Engineering: design, build, and maintain scalable pipelines and apps in Foundry.
  • AIP & AI Enablement: deploy copilots, retrieval workflows, and decision-support agents.
  • End-to-End Delivery: capture requirements and deliver working solutions with stakeholders.
  • User Engagement: train and support business teams using Foundry and AIP.
  • Governance & Trust: ensure data quality, governance, and responsible AI use.
  • Continuous Improvement: expand AIP adoption and automate workflows.

Conocimientos

Palantir Foundry
Python
PySpark
SQL
Data Modelling
AIP / RAG
Agent-based apps
Independent work

Descripción del empleo

Luxoft Spain in Almería, Andalucía, is seeking a Palantir Foundry Engineer to design, build, and operationalize AI-powered workflows and applications across the Foundry ecosystem. You will collaborate with stakeholders to translate complex needs into scalable solutions, and you will work hands-on with AIP features like RAG and copilots.

The role requires senior data engineering experience, strong Python/SQL skills, and the ability to own delivery while engaging business users.

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