AI Software Engineer - SME

Posted 4 Days Ago
2 Locations
In-Office
185K-240K Annually
Expert/Leader
Information Technology
The Role
Architects and leads enterprise-scale AI software systems, including novel AI frameworks, LLMs, MLOps, multi-cloud and air-gapped infrastructure. Serves as the technical authority for high-assurance machine learning, container security, DevSecOps, and enterprise architecture. Advises government and agency leadership, establishes security standards, leads vulnerability remediation, and aligns engineering roadmaps with mission objectives.
Summary Generated by Built In

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.
Dark Wolf is seeking an AI Software Engineer Subject Matter Expert (SME) to architect, lead, and execute complex, high-assurance AI/ML engineering initiatives. As the primary technical authority, you will drive enterprise-scale architectural vision, design novel AI systems, oversee multi-cloud and air-gapped infrastructure, and advise key government stakeholders on high-impact AI strategies.

Key Responsibilities

  • Architect and lead the end-to-end technical execution of enterprise-scale AI software systems.
  • Serve as the principal technical authority on novel AI frameworks, LLMs, and high-assurance ML 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.

Qualifications:

  • Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
  • Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s degree preferred).
  • Experience: 15+ years of software engineering experience.

Technical Competencies:

  • AI Frameworks: Enterprise AI ecosystem architecture, framework governance, and strategic platform selection.
  • AI Models: Architecting novel model architectures, fine-tuning strategies, and deployment of LLMs in air-gapped environments.
  • Machine Learning: Enterprise MLOps architecture, governance, lifecycle management, and scalable ML operations.
  • Programming & Scripting: Polyglot mastery across high-performance languages (Python, C++, Go) and system optimization.
  • Containerization: Enterprise multi-cluster architecture, zero-trust container security, and orchestration strategy.
  • Agile Frameworks: Strategic Agile leadership, enterprise scaling frameworks, and organizational Agile transformation.
  • Multi-Cloud Architecture: Hybrid, multi-cloud, and secure air-gapped enterprise cloud architecture design.
  • Security Scanning Tooling: Enterprise DevSecOps security posture, compliance authority, and vulnerability remediation leadership.

Desired Qualifications:

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

Position Clearance Requirement: 

US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph


Location:
  Chantilly/Herndon, VA. 

Target Salary Range: $185,000.00 – $240,000.00+ (Commensurate with specialized expertise and technical skillset).

Equal Opportunity Employer:

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

Skills Required

  • US citizenship
  • Active TS/SCI security clearance with active Full-Scope Polygraph
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field
  • 15+ years of software engineering experience
  • Advanced certification such as AWS Certified Solutions Architect, CISSP, Kubernetes Certified Administrator, or specialized AI/ML certification
  • Deep understanding of high-assurance software engineering, zero-trust architecture, and classified deployment constraints
  • Proficiency with Python, C++, and Go
  • Enterprise AI ecosystem architecture, framework governance, and strategic platform selection experience
  • Experience architecting novel model architectures, fine-tuning strategies, and LLM deployment in air-gapped environments
  • Enterprise MLOps architecture, governance, lifecycle management, and scalable ML operations experience
  • Enterprise multi-cluster architecture, container security, and orchestration strategy experience
  • Hybrid, multi-cloud, and secure air-gapped cloud architecture design experience
  • Enterprise DevSecOps security posture, compliance authority, security scanning, and vulnerability remediation leadership experience
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The Company
HQ: Chantilly, VA
99 Employees
Year Founded: 2009

What We Do

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. By combining the most innovative emerging technologies with deep federal domain expertise, Dark Wolf operates at the nexus of technical innovation and mission needs.

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