AI/ML Data Engineer (Palantir)
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Role details
Tech stack
Job description
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Architect, train, and fine-tune LLMs for enterprise use cases within the Vantage platform.
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Develop agentic AI systems that can autonomously reason, plan, and act on complex data workflows.
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Integrate AI models with Palantir Ontology, datasets, and operational pipelines.
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Collaborate with data scientists, engineers, and product teams to deliver scalable AI solutions.
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Support and enhance AI capabilities across the DoW network, including platforms like Vantage and ADVANA.
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Stay current with advancements in generative AI, LLMs, and agentic architectures, and apply best practices to Vantage and DoW deployments.
Requirements
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Proven experience building and deploying LLMs (e.g., GPT, Llama, PaLM) in production environments.
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Strong background in agentic AI, autonomous agents, or multi-agent systems.
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Proficiency with Python and modern ML frameworks (e.g., PyTorch, TensorFlow).
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Experience working with Palantir Vantage, ADVANA, or similar data analytics platforms is highly desirable.
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Familiarity with data modeling, ontology design, and pipeline orchestration in Vantage and/or ADVANA.
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Excellent problem-solving and communication skills.
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Experience developing or launching an Agentic AI solution for an organization preferable the DoW
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