AI Engineer

Saxon Global • Arlington, VA

18d

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 modeling, ontology design, pipeline orchestration, and AI workflow automation. The position requires the ability to obtain and maintain a secret clearance and a minimum of five years of related technical experience. Relevant experience may be considered in place of a college degree.

Requirements

• Ability to obtain and maintain a secret clearance.
• A B.S. or M.S. in Information Assurance, Computer Science, Management Information Systems, or a related discipline; relevant experience may be considered in lieu of a degree.
• At least 5 years of related technical experience.
• Proven experience building and deploying LLMs in production environments.
• Strong background in agentic AI, autonomous agents, or multi-agent systems.
• Proficiency with Python and modern machine learning 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 experience integrating AI/ML models with enterprise data platforms.
• Knowledge of security, compliance, and responsible AI practices in enterprise settings.

Nice To Haves

• Experience with data platforms such as ADVANA or Palantir MAVEN.
• Familiarity with the Azure Data/AI stack, such as 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.
• Experience with prompt engineering, retrieval-augmented generation (RAG), or AI workflow automation.

Responsibilities

• Build and deploy LLMs such as GPT, Llama, or PaLM in production environments.
• Develop or launch agentic AI solutions for an organization, including autonomous agents or multi-agent systems.
• Integrate AI/ML models with enterprise data platforms.
• Work with data modeling, ontology design, and pipeline orchestration.
• Develop AI solutions using prompt engineering, retrieval-augmented generation (RAG), or AI workflow automation.
• Develop with Databricks and Microsoft Power Platform, and design and implement data models in Microsoft 365.

What This Job Offers

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