AI/ML Engineer
Role details
Job location
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.
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Develop content and present briefings to senior government leaders.
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Manage and respond to user tickets.
Requirements
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Must be a U.S. Citizen, with an active secret DoD security clearance (ability to attain interim will be considered).
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College degree (B.S., M.S.) in Information Assurance, Computer Science, Management Information Systems, or a related discipline. Experience will be considered in lieu of education.
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Minimum of 7 years related technical experience.
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Good written and verbal communication skills.
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Strong collaboration skills and desire to work within a team.
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Highly responsible, team-oriented individual with very strong work ethic, and a self-starter.
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Ability to work in a fast paced, constantly changing environment.
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Solution-based thinker; capable of resolving complex technical challenges.
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Experience and comfort working on a Scrumban team in an Agile environment.
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Works well with limited oversight.
Required Technical Skills:
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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
These Qualifications Would Be Nice to Have
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Prior work integrating AI/ML models with enterprise data platforms, especially within government or DoW networks.
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Experience with prompt engineering, retrieval-augmented generation (RAG), or AI workflow automation.
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Knowledge of security, compliance, and responsible AI practices in enterprise settings.
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Experience with DoW (DoD) ADVANA.
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Experience with Palantir MAVEN.
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Experience developing in Army 365 (A365).
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Azure Data/AI stack familiarity (Azure Databricks, Synapse, or Data Factory).
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Experience developing and maintaining applications using Microsoft Power Platform suite (Model-driven and Canvas App, Power BI, Power Automate, Power Pages/Portals, Portal Management MDA, Power Apps Pipeline) in an Azure environment.
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Experience developing with Databricks.
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Experience with designing and implementing data models in Microsoft 365.