Senior Palantir/AI Platform Engineer Fellow

International Motors, LLC; Lisle (IL); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

International Motors, LLC in Lisle, Illinois seeks a Senior Product Engineer Fellow – Palantir / AI Platform to drive architecture, design and delivery of scalable software solutions. You will own the Foundry-based products, collaborate with product, UX and engineering, and mentor teammates across multiple teams.

The role emphasizes ownership, customer-centric problem solving, and rapid learning in a hybrid in-office/remote setting. Strong API-first and AI-driven capabilities are essential.

Qualifications

• Bachelor's or higher in IT/Engineering required.
• Minimum 9 years IT architecture/engineering experience with leadership.
• Experience delivering enterprise-scale data and AI-enabled solutions.

Responsibilities

• Define and own the design and system architecture for Palantir Foundry based applications.
• Lead the design and development of scalable, resilient features and solutions.
• Write and review production code with ownership for data, API, and AI behaviors.
• Drive architectural standards and software engineering best practices.
• Architect integrated solutions for the commercial vehicle lifecycle.
• Mentor engineers and provide technical leadership across teams.

Skills

Palantir Foundry

Software Architecture

API-first design

AI capabilities

Leadership

Mentoring

Cross-functional collaboration

Education

Bachelor's degree in IT/Engineering

Master's degree in IT/Engineering

Tools

OSDK

Marketplace

REST/GraphQL

CI/CD

Job description

International Motors, LLC in Lisle, Illinois seeks a Senior Product Engineer Fellow – Palantir / AI Platform to drive architecture, design and delivery of scalable software solutions. You will own the Foundry-based products, collaborate with product, UX and engineering, and mentor teammates across multiple teams.

The role emphasizes ownership, customer-centric problem solving, and rapid learning in a hybrid in-office/remote setting. Strong API-first and AI-driven capabilities are essential.