AI Roles with Security Clearances

AvaWatz builds trusted AI, machine learning, data intelligence, and autonomous systems for mission-critical environments across defense, homeland security, aviation, and infrastructure. The company is seeking candidates for multiple classified, on-site roles in San Antonio involving AI/ML engineering, data ontologies, Palantir Foundry and Maven software engineering, cyber mission planning, and DevSecOps.

Responsibilities:

• Deploying and integrating LLMs and agentic workflows in air-gapped or self-hosted secure environments
• Model integration rather than research: retrieval pipelines, tool use, and evaluation
• Proficiency in Python; experience with Palantir Foundry AIP is a plus
• Experience building and defining data ontologies for complex operational datasets
• Data modeling, entity and relationship design, and semantic linking across disparate sources
• Backend data integration across multiple internal and external sources and multiple classification domains
• Palantir Foundry ontology experience strongly preferred
• Hands-on development experience inside Palantir Foundry or Maven, including Ontology SDK, Workshop, Pipeline Builder, Code Repositories, and AIP
• Proficiency in Python and TypeScript, plus modern web development frameworks for module creation
• Git-based version control workflows: branching, merging, and code review
• Five or more years of professional software engineering experience
• Direct operator experience within the offensive cyber community
• Working knowledge of mission Planning, Briefing, Execution, and Debriefing (PBED) workflows and tactical operator methodologies
• Ability to lead user-centered design sessions with operators
• Likely a transitioning or recently separated 17X, 1B4X1, or equivalent joint or agency background
• CI/CD pipeline design and maintenance in classified, self-hosted environments
• Container and image security scanning, with remediation of continuous findings
• Infrastructure as code and Kubernetes or equivalent container orchestration