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Technical AI/ML Ownership:
- Evaluate, benchmark, and fine-tune ML and generative AI models in production.
- Partner with data science and ML engineering teams on model performance and drift detection.
- Maintain technical fluency in prompt engineering and retrieval-augmented generation.
AI Sustainment & Governance:
- Manage AI licenses, monitor usage, and optimize allocations for cost visibility.
- Own support tickets and lead continuous evaluations of AI tools and models.
- Maintain security outlook, coordinate patches, and design auditability frameworks.
Leadership & Strategy:
- Build and develop a team of AI operations professionals and contractors.
- Set strategic direction with a multi-quarter roadmap and budget.
- Provide regular updates to senior leadership on adoption metrics and risk.
Shield AI
Shield AI builds autonomous systems for defense and aerospace. As a growing company, it emphasizes a culture of innovation and technical rigor, seeking leaders to operationalize AI governance.