Palantir Foundry Engineer

ABOUT INTRALOX

Intralox, L.L.C., a division of Laitram, L.L.C., is a global leader in conveyance solutions that improve lives and optimize businesses worldwide. Our global workforce of over 3,000 employees across 20+ countries are reliable problem solvers who design and deliver solutions that have driven customer growth for more than 50 years. We are deeply committed to innovation, integrity, and continuous improvement - and we are now scaling the next frontier of that innovation: an enterprise-grade data and AI platform built on Palantir Foundry and AIP.

WHY THIS ROLE EXISTS

Our Digital Technologies (DT) department is building a core Palantir practice at Intralox. We are turning decades of operational data into decision-ready pipelines, Ontology-backed applications, and AIP-powered workflows that create measurable value for our business and our customers. We are looking for experienced Palantir Foundry Engineers to join this team and accelerate that work from day one. We are looking for builders who have already shipped real solutions in Foundry and AIP, plus thrive on turning business problems into modern and highly operational software delivering value.

Job Responsibilities and Requirements

WHAT YOU WILL DO

Palantir Foundry & AIP Engineers at Intralox work across the full solution stack. Depending on your strengths, you will take the lead on one or more of the following areas:

Data Engineering & Integration

Design, build, and maintain data pipelines in Palantir Pipeline Builder and Code Repositories (Python/PySpark/SQL)

Onboard new data sources from enterprise systems (ERP, CRM, Machine Controllers) through Palantir Data Connection

Establish and enforce data quality standards, monitoring, and lineage visibility across the platform

Ontology & Application Building

Develop and extend the Intralox Ontology in Ontology Manager - defining object types, links, and action types that reflect our business model

Build tailored Workshop or Web applications for operators and business users across manufacturing, commercial, and service functions

Implement business logic through Palantir Functions and connect it cleanly to the Ontology

Collaborate with Palantir developers and internal stakeholders to architect reusable, scalable use cases

AI & Analytics

Integrate AI models and AIP Logic into operational workflows to enable AI-assisted decision-making

Build analysis workflows in Code Workbook or Code Workspaces for data science and predictive modeling use cases

Support analysts in building repeatable dashboards and reports in Contour and Quiver

Delivery & Collaboration

Partner with business stakeholders, like various engineering and business roles, plus people managers to scope and prioritize use cases

Contribute to platform governance standards alongside the DT core team

Mentor and guide team members who are developing their Palantir skills

Participate in a globally distributed team

WHAT YOU BRING

Required

Bachelor's degree in computer science, Data Science, or Engineering - or equivalent professional experience

At least 2 years building in Palantir Foundry (pipelines, Ontologies, or apps), not just using dashboards

Proficiency in at least two of the following: Pipeline Builder, Code Repositories (Python/Spark), Workshop, Ontology Manager, AIP Logic, or Slate

Production-grade coding ability in Python; working knowledge of TypeScript

Familiarity with engineering best practices: Git, CI/CD, automated testing, and logging

Track record of delivering complete Palantir use cases, from data onboarding through to the end-user application

Experience owning data pipelines post-deployment - monitoring, troubleshooting, and improving them in production

Strong communication skills, with the ability to translate between technical and non-technical stakeholders

Comfortable working independently in a globally distributed, asynchronous team

Professional proficiency in English

Preferred

Experience with Palantir AIP, including model integration, AIP Logic, and AI-assisted workflow design

Background or domain knowledge in manufacturing, industrial operations, supply chain, or logistics

Proficiency with Code Workbook or Code Workspaces for Python- or R-based data science and ML workflows

Experience acting in multiple Palantir roles within a single engagement (e.g., data engineer + app builder)

Familiarity with platform administration, security markings, or data governance tooling in Foundry

Prior experience scaling a Palantir practice within an enterprise organization

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