AI Solutions Engineer

• Configure and validate native AI-assistive features across bundled platform components (Dataset Explorer, DataCard Service, Annotation Platform)
• Integrate and tune SAM 2 for full-motion video annotation: object tracking, segmentation calibration, confidence threshold configuration
• Implement Frontier model API integration for synthetic data fidelity validation: prompt engineering, response validation, quality scoring
• Configure AI-assisted annotation features: confidence scoring, auto-escalation triggers, model-assisted label suggestion
• Implement ICAM / OIDC authentication integration with AFS identity framework
• Configure data-layer DLP policies above the AFS-managed DLP infrastructure substrate
• Configure NiFi FMV codec validation layer (H.264, H.265, MPEG-4) above AFS-managed substrate
• Validate AI feature integration end-to-end across storefront, annotation platform, and DataCard write-back during Phase C

• Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
• 6+ years total professional experience, 4+ years hands-on AI/ML engineering
• SAM 2 or equivalent foundation model integration for computer vision or video annotation
• Frontier model API integration (OpenAI, Anthropic, or equivalent): async job management, quality validation pipelines
• Python — strong, production-grade; comfortable with ML tooling and data pipeline development
• Experience configuring AI-assistive features in annotation platforms or ML data tooling
• Active Secret clearance with TS/SCI eligibility

• CVAT annotation platform — AI feature configuration and operation
• DoD or IC data program experience: CUI, distribution statements, federal data governance
• Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement
• Video understanding or FMV annotation experience
• DataCard or ML data provenance framework familiarity

The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications.

Note to Candidates:

This role does not own infrastructure deployment.

The AI Solutions Engineer operates at the AI/ML configuration and integration layer above the infrastructure.

Ideal candidate is equally comfortable writing Python integration code and reasoning about model quality — and understands that in a federal data environment, every AI decision needs an audit trail.

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