Senior AI Engineer — Edge/Cloud AI & Secure Deployments

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

Job summary

IntelliGenesis seeks a Senior AI Engineer to lead the design, development, and deployment of production-grade AI systems for mission-critical intelligence environments. You will architect scalable AI pipelines, deploy models to edge and cloud, and integrate AI into cybersecurity workflows, guiding best practices in MLOps and secure deployment.

The role emphasizes collaboration with cyber operators, software engineers, and infrastructure teams, serving as a technical leader and mentor to ensure

Qualifications

• U.S. Citizenship required.
• Active TS/SCI clearance with polygraph.
• 8+ years in AI/ML or related field.
• Bachelor's degree in Computer Science, Engineering, or related field.
• Experience deploying AI/ML models to production.
• Proficiency in Python and at least one additional language (e.g., C++, Go).
• Experience with MLOps tools (Kubernetes, Docker, MLflow, Kubeflow, VMware, Tanzu).
• Experience with cloud and hybrid infrastructure (AWS, Azure, or DoD cloud environments).
• Knowledge of DevSecOps and infrastructure-as-code (Terraform, Ansible).
• Experience with model serving, monitoring, and lifecycle management.
• Familiarity with cybersecurity concepts and secure system design.
• Experience in classified or regulated environments (DoD/IC preferred).

Responsibilities

• Lead end-to-end AI system design, development, and deployment.
• Architect and implement scalable MLOps pipelines for training, validation, and deployment.
• Deploy AI/ML models to cloud, on-prem, and edge environments.
• Integrate AI capabilities into cybersecurity tools and operational workflows.
• Ensure system security, including adversarial robustness and secure model deployment.
• Collaborate with cross-functional teams (cyber, infrastructure, software engineering).
• Mentor mid-level engineers and provide technical oversight.
• Rapidly prototype AI solutions and transition them into production systems.
• Ensure compliance with DoD RMF requirements.

Skills

Python

MLOps

Other languages

Cloud computing

Security

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Docker

MLflow

Kubeflow

VMware/Tanzu

Job description

IntelliGenesis seeks a Senior AI Engineer to lead the design, development, and deployment of production-grade AI systems for mission-critical intelligence environments. You will architect scalable AI pipelines, deploy models to edge and cloud, and integrate AI into cybersecurity workflows, guiding best practices in MLOps and secure deployment.

The role emphasizes collaboration with cyber operators, software engineers, and infrastructure teams, serving as a technical leader and mentor to ensure