Palantir Foundry Engineer

Luxoft; Guntín; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

The selected candidate will join Luxoft as a Palantir Foundry & AIP Engineer, delivering data-driven AI workflows and applications. You will design, build, and operationalize AI-powered workflows and agents, collaborating with stakeholders to maximize Foundry and AIP value.

Starting in Spain, you will relocate to Abu Dhabi by year-end to support global deployments and governance for enterprise clients, with a focus on scalable pipelines and trustworthy AI.

Formación

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

Responsabilidades

• Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
• Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
• Ground agents and logic flows using RAG by connecting to relevant data sources, embedding/vector search, ontology content.
• Use Ontology-Augmented Generation when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
• Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
• End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
• User Engagement: Provide training and support for business teams adopting Foundry and AIP.
• Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
• Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

Conocimientos

Python

PySpark

SQL

Data Modelling

AIP/Foundry

RAG workflows

Independant work

Herramientas

Palantir Foundry

Ontology

AIP

Descripción del empleo

We are seeking a Palantir Foundry & AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.

Responsibilities

• Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
• AIP & AI Enablement:
• Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
• Ground agents and logic flows using RAG (retrieval-augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
• Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
• Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
• End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
• User Engagement: Provide training and support for business teams adopting Foundry and AIP.
• Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
• Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

Skills

Must have

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

Nice to have

• Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
• Exposure to AIP Evals and evaluation/test-driven approaches.
• Experience with integration patterns (APIs, MCP, cloud services).
• Consulting or applied AI/ML background.
• Experience in Abu Dhabi or the broader MENA region.

Seniority

• Senior

Locations

• Spain
• Italy
• Poland
• Ukraine

Responsibilities

• · Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
• o Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
• o Ground agents and logic flows using RAG (retrieval-augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
• o Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
• o Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
• · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
• · User Engagement: Provide training and support for business teams adopting Foundry and AIP.
• · Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
• · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

Skills Description

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

--- The selected candidate will start in Spain and then relocate to Abu Dhabi by the end of the year.

Responsibilities

• Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
• AIP & AI Enablement:
• Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
• Ground agents and logic flows using RAG (retrieval-augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
• Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
• Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
• End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
• User Engagement: Provide training and support for business teams adopting Foundry and AIP.
• Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
• Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

Must have

• Minimum 10 Years of experience in IT/Data.
• Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
• 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
• Strong technical skills in Python, PySpark, SQL, and data modelling.