Palantir currently has 17 active AI-related job listings. The majority of these roles, 53%, are focused on agents, with the remaining 47% in application development. Engineering is the primary function across all these positions. Hiring is concentrated in the United States, with 14 roles, followed by the United Kingdom with 2. The company is seeking expertise in areas such as agent orchestration, RAG, and model serving.
Currently tracking 8 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $110k–$200k (avg $166k).
Palantir currently has 21 active AI-related roles in our index. The most common open titles are: Deployment Strategist, Build to Apply - US Government (3), Forward Deployed Software Engineer (3), Software Engineer - Hosted Model Infrastructure (3), Forward Deployed AI Engineer (2), Forward Deployed Software Engineer - Autonomous Systems C2 (2). Most positions are in Engineering.
Palantir's active AI hiring is concentrated in: application (43%), agents (43%), serving infrastructure (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Palantir is hiring AI talent in: United States (18 roles), United Kingdom (2 roles), South Korea (1 role).
Job postings at Palantir most frequently reference: agent orchestration, model serving, llm observability, inference infra, rag.
In the past 30 days, Palantir has posted 3 new AI-related roles. That is a -40% change versus the prior 30 days (5 → 3).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer - Hosted Model Infrastructure Software Engineer focused on enabling ML models in production environments, specifically for government and defense clients with strict constraints on hardware, access, and data sovereignty. The role involves owning services end-to-end, including inference engines, GPU scheduling, deployment pipelines, and observability, to deliver new models and capabilities continuously. | Serve | 7 |
| Software Engineer - Hosted Model Infrastructure Software Engineer focused on the infrastructure for deploying and running ML models in production environments, particularly those with constraints like air-gapped networks, limited GPU resources, and strict data sovereignty. The role involves end-to-end ownership of services, including inference engines, GPU scheduling, deployment pipelines, and observability, aiming for continuous delivery of new models and capabilities. | Serve | 7 |
| Software Engineer - Hosted Model Infrastructure Software Engineer focused on enabling ML models in production environments, including air-gapped and resource-constrained settings. The role involves owning services end-to-end, covering inference engines, GPU scheduling, deployment pipelines, and observability, with the goal of delivering new models and capabilities quickly and continuously. | Serve | 7 |