AI Software Engineer - SME
Quick Summary
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,
Responsibilities
~1 min read- →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.
Requirements
~1 min read- 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.
- 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.
US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph
- 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.
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.
Location & Eligibility
Listing Details
- Posted
- August 18, 2026
- First seen
- August 18, 2026
- Last seen
- August 19, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 71%
- Scored at
- August 18, 2026
Signal breakdown
Please let Darkwolfsolutions know you found this job on Jobera.
4 other jobs at Darkwolfsolutions
View all →Explore open roles at Darkwolfsolutions.
Similar Ai Software Engineer jobs
View all →Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.