Foundry & AIP Engineer: AI-Driven Data Pipelines

Luxoft; United Kingdom; Remote; GBP 90,000 - 130,000; Full time

Job summary

Luxoft seeks a Palantir Foundry & AIP Engineer to design, build, and operationalize AI-powered workflows and agents within the Foundry ecosystem. You will translate complex business needs into scalable technical solutions and work directly with stakeholders to maximize value from Foundry and AIP.

The role emphasizes end-to-end delivery, data governance, and continuous improvement, with a focus on collaboration with senior engineers and business users.

Qualifications

• 10+ years IT/data experience with 5+ years as a Data Platform/Data Engineer.
• 2+ years with Palantir Foundry ecosystem (data integration, ontology, pipelines, apps).
• 1+ year hands-on with Palantir AIP including copilots, retrieval workflows, and decision-support agents.
• Strong Python, PySpark, SQL and data modeling skills.

Responsibilities

• Design, build, and operate AI-powered workflows and applications within Palantir Foundry and AIP; collaborate with stakeholders to deliver value.

Skills

Python

PySpark

SQL

Data modeling

Palantir Foundry

Palantir AIP

Tools

Palantir Foundry

Palantir AIP

Job description

Project description

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: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

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).1+ years of hands-on experience with Palantir's AIP (Artificial Intelligence Platform), including:- Supporting the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.- Grounding agents and logic flows using RAG (retrieval-augmented generation) — connecting to relevant data sources, embedding/vector search, and ontology content.- Applying Ontology-Augmented Generation (OAG) for operational decision-making, where logic, data, actions and relationships are embedded in the Ontology.- Collaborating with senior engineers on agent design, instructions, and evaluation using AIP's native features.· Strong technical skills in Python, PySpark, SQL, and data modelling.· Ability to work independently and engage directly with non-technical business users.· Strong problem-solving mindset and ownership of delivery.

Nice to have

· Experience in Abu Dhabi or the broader MENA region.