Senior SI Engineer — DoD-Grade ML & Secure AI Ops

IntelliGenesis; Reston (VA); On-site; USD 215,000 - 245,000; Full time

Job summary

IntelliGenesis is seeking a Senior Super Intelligence Engineer to lead production-grade SI systems in mission-critical environments. You will architect scalable pipelines, deploy models to edge and cloud, and mentor engineers to deliver robust SI capabilities in DoD settings.

The role emphasizes secure AI deployment, DevSecOps, and collaboration with cyber operators, software, and infrastructure teams in an agile, mission-driven context.

Qualifications

• 8+ years of experience in SI/ML engineering, software engineering, or related field.
• Strong experience deploying SI/ML models into production environments.
• Active TS/SCI clearance with polygraph is required.

Responsibilities

• Lead end-to-end SI system design, development, and deployment.
• Architect and implement scalable MLOps pipelines for training, validation, and deployment.
• Deploy SI/ML models to cloud, on-prem, and edge environments.
• Integrate SI capabilities into cybersecurity tools and operational workflows.
• Ensure system security, including adversarial robustness and secure model deployment.
• Mentor mid-level engineers and provide technical oversight.
• Ensure compliance with RMF requirements.

Skills

SI/ML engineering

Software engineering

Python

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Kubernetes

Docker

MLflow

Kubeflow

VMware

Tanzu

Job description

IntelliGenesis is seeking a Senior Super Intelligence Engineer to lead production-grade SI systems in mission-critical environments. You will architect scalable pipelines, deploy models to edge and cloud, and mentor engineers to deliver robust SI capabilities in DoD settings.

The role emphasizes secure AI deployment, DevSecOps, and collaboration with cyber operators, software, and infrastructure teams in an agile, mission-driven context.