Palantir Foundry AI Platform Engineer

Kirkland & Ellis; New York (NY); On-site; USD 176,000 - 242,000; Full time

Job summary

Kirkland & Ellis is seeking a Platform Developer, Innovation Delivery to build AI-powered workflows on Palantir Foundry for practice groups worldwide. You will work with FDEs to turn prototypes into scalable, production-ready solutions that improve legal service delivery.

You'll own products end-to-end, design data models, and implement secure governance while collaborating with engineering and business stakeholders across the firm. This is a hands-on, growth-driven role in a global organization.

Qualifications

• 3 years of software, data, or analytics engineering experience, including data modeling and ETL/ELT pipelines.
• Experience building and deploying Palantir Foundry or AIP solutions in production.
• Strong Python, SQL, PySpark, TypeScript, and React skills with cloud exposure (AWS/Azure/GCP).
• Bachelor’s degree in CS or related field, or equivalent practical experience.

Responsibilities

• Build AI-powered workflows on Palantir Foundry and AIP.
• Design data models and pipelines using Python, PySpark, and SQL.
• Develop apps in Workshop and OSDK with TypeScript and React.
• Integrate Foundry with iManage, Intapp, Salesforce, and other systems.
• Scale prototypes into production with CI/CD, monitoring, and docs.
• Drive data governance, access controls, and confidentiality safeguards.
• Own workflow lifecycle from implementation to operations.

Skills

Python

PySpark

SQL

TypeScript

React

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor’s degree in Computer Science or related field

Equivalent practical experience

Tools

Palantir Foundry

AIP

OSDK

Job description

Kirkland & Ellis is seeking a Platform Developer, Innovation Delivery to build AI-powered workflows on Palantir Foundry for practice groups worldwide. You will work with FDEs to turn prototypes into scalable, production-ready solutions that improve legal service delivery.

You'll own products end-to-end, design data models, and implement secure governance while collaborating with engineering and business stakeholders across the firm. This is a hands-on, growth-driven role in a global organization.