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Dark Wolf Solutions

DevSecOps, security testing, and incident response.

AI Software Engineer - SME

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeHerndon, VA, USA$185k - $240kIn-person

About the Job

Requirements

  • Must be a U.S. citizen and hold an active Top Secret/Sensitive Compartmented Information security clearance with an active Full-Scope Polygraph.
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field is required; a Master's degree is preferred.
  • 15 or more years of software engineering experience.
  • Expertise in enterprise artificial intelligence ecosystem architecture, framework governance, and strategic platform selection.
  • Experience architecting novel model architectures, fine-tuning strategies, and deploying large language models in air-gapped environments.
  • Expertise in enterprise machine learning operations architecture, governance, lifecycle management, and scalable machine learning operations.
  • Mastery of Python, C++, and Go, and system optimization.
  • Expertise in enterprise multi-cluster architecture, zero-trust container security, and orchestration strategy.
  • Expertise in strategic Agile leadership, enterprise scaling frameworks, and organizational Agile transformation.
  • Experience designing hybrid, multi-cloud, and secure air-gapped enterprise cloud architectures.
  • Expertise in enterprise DevSecOps security posture, compliance authority, and vulnerability remediation leadership.

Responsibilities

  • Architect and lead end-to-end technical execution of enterprise-scale AI software systems.
  • Serve as the principal technical authority on novel AI frameworks, large language models, and high-assurance machine learning capabilities.
  • Define enterprise security standards and mandate security-scanning tool integrations across complex systems.
  • Set the strategic vision for multi-cloud, hybrid, and air-gapped infrastructure design.
  • Interface directly with executive and agency leadership to align software engineering roadmaps with high-priority mission objectives.

Desired Qualifications

  • AWS Certified Solutions Architect certification, Certified Information Systems Security Professional certification, Kubernetes Certified Administrator certification, or specialized AI/ML certifications.
  • Deep understanding of high-assurance software engineering, zero-trust architecture, and classified deployment constraints.

About the Company

Dark Wolf Solutions

DevSecOps, security testing, and incident response.

Dark Wolf Solutions provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission support and engineering services to the Intelligence Community, national security, and Fortune 500 customers. It combines secure software development, cybersecurity testing, incident response, research, and ML to create tools and systems that meet mission requirements, with ongoing operational support. The company differentiates itself with deep federal domain expertise and end-to-end capabilities that span development to operations for government and large enterprises. Its goal is to help intelligence and security-focused organizations leverage new technologies while keeping systems secure and resilient.

Company size
201-500
Company stage
Grant
Total funding
$1.7M
Headquarters
Herndon, VA
Founded
2009

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