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Software Engineer, Internship - Sovereign AI Systems

Join Palantir as a Software Engineer Intern to build reliable AI systems in high-stakes environments with hands-on mentorship.

Location
New York, NY
Compensation
Not disclosed
Level
intern
Type
internship

Posted by employer 2 days ago

First seen on Joblaze 2 days ago

Last verified on the company career page 4 hours ago

Skills & Technologies

What you'll build

  • Build production software for AI systems
  • Contribute to infrastructure for agentic workflows
  • Design and implement services and APIs
  • Debug issues across services and systems
  • Write clear, maintainable code

Must have

  • Strong coding fundamentals
  • Experience with AI systems

Nice to have

  • Excited to learn quickly
  • Ability to communicate clearly

AI in the day-to-day

You will help build systems that make AI agents useful, reliable, and governable in operational environments.

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Joblaze summary

In this internship, the Software Engineer will engage in hands-on development, focusing on building reliable AI systems for high-stakes environments. Key skills include strong coding fundamentals and experience with AI technologies, as the role involves creating software that enhances the deployment and operation of AI agents. This position is ideal for individuals eager to learn and communicate effectively, particularly those with a background in software engineering or related fields. The intern will work closely with experienced engineers, gaining practical insights into real-world operational challenges.

Joblaze insights

  • Listed 2 days ago — first seen on Joblaze November 6, 2026. Last confirmed on Palantir's careers page November 8, 2026.
  • This exact title is also open at 1 other location at Palantir: London, United Kingdom.
  • AI/ML appears in 36.1% of 119 comparable intern ai/ml roles in United States.

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?
Palantir targets intern candidates for this position.
Is this full-time or contract?
Internship for this Software Engineer, Internship - Sovereign AI Systems role at Palantir.

From the original posting

A World-Changing Company   Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role   As a Software Engineer Intern on Sovereign AI Infrastructure, you will help build the systems that make AI agents useful, reliable, and governable in high-stakes operational environments. This is not a research-only internship. You’ll own a project with hands-on mentorship from experienced engineers, contributing to the systems that make production AI useful and trustworthy. That may mean working directly on agentic workflows, or on the layers they depend on: customer ontologies, context assembly, tool interfaces, agent identity or permissions, evaluations, and the core workflows that turn model outputs into real operational decisions. We are looking for interns with strong coding fundamentals and experience with AI systems. You should be excited to learn quickly, communicate clearly, and build systems where correctness, reliability, and customer trust matter.   Core Responsibilities (may include) Build production software that improves how Palantir deploys, operates, evaluates, or monitors AI systems in customer-controlled environments. Contribute to infrastructure for agentic workflows, including tool use, context assembly, permissions, execution safety, observability, and debugging. Design and implement  services, APIs, test harnesses, evaluation pipelines, or developer tools that make AI systems easier to operate. Work with engineers, product teams, and customer-facing teams to understand real operational problems and turn them into durable software. Debug issues across services, deployment systems, logs, configuration, permissions, and product behavior. Write clear, maintainable code and participate in code review with a high bar for quality. Communicate your design decisions, tradeoffs, and results clearly to teammates.

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