AI Platform Engineer - Palantir Foundry

Acosta Sales Co., Inc.
Lake Dallas, United States of America
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Lake Dallas, United States of America

Tech stack

Artificial Intelligence
Business Analytics Applications
Data analysis
Software as a Service
Information Systems
Data Governance
Python
SQL Databases
TypeScript
AI Platforms
PySpark
Information Technology
Performance Monitor
Data Management
Virtual Agents
Data Pipelines

Job description

The Foundry AI Platform Engineer is responsible for leading the development, deployment, and ongoing management of data models (ontologies), analytics solutions, and AI-driven applications within the Palantir Foundry platform. This role serves as the primary platform engineer and administrator, ensuring platform stability, performance, and usability while translating business needs into scalable, production-ready data and AI solutions. The role partners closely with Technology and business stakeholders to integrate data, analytics, and AI capabilities into operational workflows that support enterprise decision-making.

This role will have a Hybrid Work Arrangement (3 days in office weekly) in an Acosta office in Lewisville, TX; Jacksonville, FL; or Toronto, Ontario.

Responsibilities

Platform & Application Enablement:

Design, develop, and optimize ontology?driven data models within Palantir Foundry that support both operational and analytical use cases.

Deliver enterprise?facing applications and workflows that are production?ready, scalable, and aligned to business objectives.

Support sustained end?user engagement by ensuring solutions are intuitive, reliable, and fit for real?world business use.

Palantir Foundry Platform Management

Partner with Technology teams to support platform performance, stability, and reliability in production environments.

Assist with monitoring, troubleshooting, and operational support of Foundry?based applications and workflows.

Align platform usage with enterprise standards for security, access controls, and data governance.

AI?Driven Solution Development

Build and support AI?enabled applications using Palantir Foundry, Python, PySpark, and TypeScript.

Develop solutions that integrate data pipelines, analytics, and AI capabilities to support enterprise decision?making.

Contribute to AI use cases such as forecasting, performance evaluation, and operational optimization.

Analytics & Business Insight

Analyze large and complex datasets to identify trends, insights, and opportunities that inform business decisions.

Apply analytics techniques to improve operational efficiency, performance measurement, and planning processes.

Stakeholder Partnership & Governance

Collaborate closely with business and shared?services stakeholders to understand workflows and translate requirements into scalable solutions.

Promote responsible use of data and AI by adhering to established governance, data quality, security, and compliance standards.

Contribute to documentation, best practices, and reusable patterns that support platform adoption across the organization.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.

3 or more years of demonstrated hands?on experience working with Palantir Foundry in production or enterprise environments.

Experience building enterprise or customer?facing data, analytics, or AI?enabled applications.

Mastery in Python and SQL; advanced proficiency with PySpark and TypeScript preferred.

Strong ability to translate business concepts and workflows into scalable technical solutions.

Experience collaborating with both technical teams and non?technical business stakeholders.

Strong problem?solving skills and comfort supporting production systems in a governed enterprise environment.

Clear communication skills, with the ability to explain technical concepts to diverse audiences.

Preferred Qualifications

Experience supporting analytics or AI use cases within retail, consumer goods, or commercial enterprise environments.

Familiarity with platform administration, performance monitoring, and operational support for data or analytics platforms.

Experience working within cloud?based data platforms or SaaS environments.

Certifications related to data, analytics, cloud platforms, or Palantir technologies (preferred but not required).

Physical Requirements

Seeing, Listening, Color Perception

Work Environment

Inside, Face-to-Face, Work with Others

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