AI Software Engineer - SME
Leads AI/ML system architecture and enterprise-scale AI engineering for defense/intelligence, focusing on novel AI frameworks, LLMs, and high-assurance deployment in multi-cloud/air-gapped environments.
- Compensation
- $185K–$240K / yr
- Location
- Chantilly/Herndon, VA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 15+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- US Citizenship with an active TS/SCI security clearance and Full-Scope Polygraph
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred)
- 15+ years of software engineering experience
Nice to have
- Advanced certifications (e.g., AWS Certified Solutions Architect, CISSP, CKA, or specialized AI/ML certifications)
- Deep understanding of high-assurance software engineering, zero-trust architecture, and classified deployment constraints
Full description
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.