Artificial Intelligence Engineer

Architect, train, and fine-tune LLMs for enterprise use cases within the Vantage platform.

Develop agentic AI systems that can autonomously reason, plan, and act on complex data workflows.

Integrate AI models with Palantir Ontology, datasets, and operational pipelines.

Collaborate with data scientists, engineers, and product teams to deliver scalable AI solutions.

Support and enhance AI capabilities across the DoW network, including platforms like Vantage and ADVANA.

Stay current with advancements in generative AI, LLMs, and agentic architectures, and apply best practices to Vantage and DoW deployments.

Develop content and present briefings to senior government leaders.

Manage and respond to user tickets.

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.

Minimum of 7 years related technical experience.

Good written and verbal communication skills.

Strong collaboration skills and desire to work within a team.

Highly responsible, team-oriented individual with very strong work ethic, and a self-starter.

Ability to work in a fast paced, constantly changing environment.

Solution-based thinker; capable of resolving complex technical challenges.

Experience and comfort working on a Scrumban team in an Agile environment.

Works well with limited oversight.

Required Technical Skills:

Proven experience building and deploying LLMs (e.g., GPT, Llama, PaLM) in production environments.

Strong background in agentic AI, autonomous agents, or multi-agent systems.

Proficiency with Python and modern ML frameworks (e.g., PyTorch, TensorFlow).

Experience working with Palantir Vantage, ADVANA, or similar data analytics platforms is highly desirable.

Familiarity with data modeling, ontology design, and pipeline orchestration in Vantage and/or ADVANA.

Excellent problem-solving and communication skills.

Experience developing or launching an Agentic AI solution for an organization preferable the DoW

These Qualifications Would Be Nice to Have

Prior work integrating AI/ML models with enterprise data platforms, especially within government or DoW networks.

Experience with prompt engineering, retrieval-augmented generation (RAG), or AI workflow automation.

Knowledge of security, compliance, and responsible AI practices in enterprise settings.

Experience with DoW (DoD) ADVANA.

Experience with Palantir MAVEN.

Experience developing in Army 365 (A365).

Azure Data/AI stack familiarity (Azure Databricks, Synapse, or Data Factory).

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.

Experience developing with Databricks.

Experience with designing and implementing data models in Microsoft 365.