What are the responsibilities and job description for the Palantir Foundry Engineer position at Intralox?
Job Description (General Summary)
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
EEO/Vet/Disability Notice
EOE/M/F/Vet/Disabled
LinkedIn Recruiter
#LI-AT1
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
EEO/Vet/Disability Notice
EOE/M/F/Vet/Disabled
LinkedIn Recruiter
#LI-AT1