We are seeking a highly skilled Agentic AI Engineer to design, build, and deploy next-generation AI Agents within Palantir’s Artificial Intelligence Platform (AIP) . In this role, you will develop autonomous, decision-support, and workflow-driving AI systems that augment human operators, automate mission-critical processes, and unlock new value for enterprises and government partners.

You will work at the intersection of machine learning, reasoning systems, and Palantir’s ontology-driven architecture , translating complex data ecosystems into intelligent, actionable AI agents that operate securely and responsibly.

Key Responsibilities

• AI Agent Development: Design, prototype, and productionize agentic AI systems within Palantir AIP, leveraging LLMs, multi-agent orchestration frameworks, and Palantir’s ontology.

• Workflow Automation: Build intelligent agents that can plan, reason, and execute multi-step tasks across enterprise workflows (e.g., supply chain optimization, financial decision-making, operational command-and-control).

• Integration & Orchestration: Connect agentic AI capabilities to Palantir Foundry, Gotham, and AIP pipelines, ensuring seamless interoperability with customer data and applications.

• Safety & Governance: Implement robust guardrails, monitoring, and human-in-the-loop mechanisms to ensure AI agents act responsibly, transparently, and within defined policies.

• Collaboration: Partner with product managers, forward-deployed engineers, and customer teams to design AI agents aligned with business and mission outcomes.

• Innovation: Stay at the forefront of advancements in agentic AI, LLM tool use, reasoning engines, and planning algorithms—bringing cutting-edge approaches into real-world deployments.

Qualifications

Required:

• Strong experience with AI/ML, particularly LLM-based systems and agentic frameworks (e.g., LangChain, AutoGen, semantic planners).

• Proficiency in Python , with experience integrating AI models into production environments.

• Familiarity with Palantir AIP (or strong ability to quickly learn Palantir’s ontology and pipeline-driven architecture).

• Understanding of secure, enterprise-grade AI deployment requirements (access control, auditability, compliance).

• Background in data engineering, distributed systems, or large-scale analytics platforms.

Preferred:

• Experience deploying AI solutions on Palantir Foundry/Gotham/AIP .

• Knowledge of reinforcement learning, reasoning algorithms, or multi-agent collaboration methods.

• Previous work in regulated industries (finance, defense, healthcare, energy, etc.) where trust and governance in AI are critical.

• Ability to design user-facing AI applications and interfaces that drive adoption.