AI Engineer

Saxon Global • Arlington, VA

7d

About The Position

The AI Engineer will build and deploy large language models in production and develop agentic AI solutions, including autonomous agents and multi-agent systems. The role involves integrating AI/ML models with enterprise data platforms and working with data analytics platforms, data models, ontologies, and pipeline orchestration. The position also involves applying prompt engineering, retrieval-augmented generation (RAG), and AI workflow automation, while following security, compliance, and responsible AI practices in enterprise settings. The engineer will work on a Scrumban team in an Agile environment.

Requirements

• Must be able to obtain and maintain a secret clearance.
• A B.S. or M.S. degree in Information Assurance, Computer Science, Management Information Systems, or a related discipline; relevant experience may be considered in lieu of a degree.
• A minimum of 5 years of related technical experience.
• Proven experience building and deploying LLMs (e.g., GPT, Llama, PaLM) in production environments.
• A strong background in agentic AI, autonomous agents, or multi-agent systems.
• Proficiency with Python and modern ML frameworks such as PyTorch or TensorFlow.
• Experience with Palantir Foundry/Vantage or similar data analytics platforms.
• Familiarity with data modeling, ontology design, and pipeline orchestration.
• Experience developing or launching an Agentic AI solution for an organization.
• Experience working on a Scrumban team in an Agile environment.
• Prior work integrating AI/ML models with enterprise data platforms.
• Experience with prompt engineering, retrieval-augmented generation (RAG), or AI workflow automation.
• Knowledge of security, compliance, and responsible AI practices in enterprise settings.

Nice To Haves

• Experience with data platforms like ADVANA or Palantir MAVEN.
• Familiarity with the Azure Data/AI stack (e.g., Azure Databricks, Synapse, or Data Factory).
• Experience developing with Databricks.
• Experience developing applications using the Microsoft Power Platform suite.
• Experience designing and implementing data models in Microsoft 365.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level