Innovation Delivery Platform Developer

About Kirkland & Ellis

At Kirkland & Ellis, we don’t just meet the standard for legal excellence — we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers’ commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.

What You’ll Do

• Build AI-powered solutions: Develop and support Artificial Intelligence Platform (AIP) workflows that leverage Large Language Models (LLMs) for drafting, extraction, analysis, and other high-impact business processes.
• Create and maintain Foundry Ontology objects, actions, functions, and production-grade data pipelines using Python, PySpark, and Structured Query Language (SQL).
• Develop business applications: Build operational applications in Workshop and create custom user experiences using the Ontology Software Development Kit (OSDK) with TypeScript and React.
• Integrate enterprise systems: Connect Foundry solutions with key business platforms including iManage, Intapp, Salesforce, matter management systems, and external data sources.
• Scale solutions into production: Strengthen prototypes through testing, monitoring, Continuous Integration and Continuous Deployment (CI/CD), performance optimization, and documentation.
• Drive secure innovation: Implement data governance, auditability, access controls, and confidentiality safeguards to support sensitive business environments.
• Own products end-to-end: Take responsibility for workflow lifecycle management as solutions transition from implementation to long-term operational ownership.

What You’ll Bring

• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
• Experience: 3+ years of software, data, or analytics engineering experience, including data modeling, Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines, and large-scale integrations.
• Palantir expertise: Hands-on experience building and deploying solutions on Palantir Foundry and/or AIP, including pipelines, ontology modeling, and application development in production environments.
• AI and machine learning capabilities: Experience developing production-ready generative AI and LLM-powered solutions, including prompt engineering, model deployment, evaluation frameworks, and guardrails.
• Technical proficiency: Strong programming skills in Python, PySpark, SQL, TypeScript, and React, along with experience working in cloud environments such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Engineering excellence: Proven ability to deliver reliable, scalable solutions through testing, observability, CI/CD, performance optimization, and technical documentation.
• Ownership mindset: A self-directed approach with the ability to drive decisions, solve complex problems, and manage products through their full lifecycle.

Preferred Strengths

• Experience with Palantir certifications, AIP Agent Studio, Retrieval-Augmented Generation (RAG), agentic workflows, MLOps or LLMOps practices, enterprise integrations, and secure handling of sensitive data.
• Familiarity with legal or professional services technology is a plus.

Compensation

The base salary range below represents the low and high end of the salary range for this position in each of the below locations. This range may differ based on your geographic location and cost of living considerations.

• Chicago: $176,000 - $220,000
• New York: $176,000 - $242,000

How to Apply

Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now." Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.