Senior AI Engineering & Cybersecurity Capability Lead

Location: Washington, District of Columbia, United States

Salary: $215,000–$240,000 annually

Company

Everforth hirify.global Federal delivers data and AI, cybersecurity, and enterprise transformation solutions for defense, intelligence, and federal civilian agencies.

What you will do

• Establish and execute the AI capability roadmap, technical priorities, implementation milestones, and measurable outcomes for enterprise cybersecurity missions.
• Advise program leadership, section chiefs, executive stakeholders, cybersecurity operators, and technical teams on AI technologies, risks, and mission applications.
• Lead the architecture, engineering, integration, and deployment of AI/ML solutions for Red Team, Blue Team, Purple Team, threat hunting, vulnerability management, security analytics, incident response, and defensive automation.
• Provide hands-on technical leadership for LLMs, agentic AI, RAG, machine learning, AI automation, private model hosting, GPU environments, air-gapped deployments, data pipelines, and model orchestration.
• Lead and mentor a multidisciplinary AI engineering team, establish workstreams and delivery priorities, and move solutions from experimentation into secure, supportable production environments.
• Integrate AI capabilities with SIEM/SOAR, vulnerability management, threat intelligence, and security assessment platforms while supporting cybersecurity exercises, incident response, and enterprise security initiatives.

Requirements

• Active Top Secret security clearance.
• 10+ years of relevant technical experience, including at least 2 years in technical leadership or management.
• Experience leading AI/ML engineering initiatives from solution architecture through production deployment.
• Strong hands-on experience with LLMs, agentic AI frameworks, RAG architectures, machine learning, and AI automation.
• Proficiency in Python, API development, systems integration, data engineering, and modern software development practices.
• Experience designing and implementing AI solutions in secure enterprise environments.
• Working knowledge of cybersecurity operations, including threat detection, vulnerability management, incident response, or offensive and defensive security.
• Ability to lead technical teams, establish engineering direction, mentor senior engineers, advise senior technical or executive stakeholders, and translate engineering concepts into mission outcomes.

Nice to have

• Experience integrating AI/ML capabilities into enterprise cybersecurity operations or security platforms.
• Experience with adversarial machine learning, AI red teaming, MITRE ATLAS, or AI security testing.
• Familiarity with SIEM/SOAR platforms, Tenable, Burp Suite, penetration testing frameworks, or security automation technologies.
• Experience deploying private or locally hosted AI models in classified, restricted, or air-gapped environments.
• Knowledge of MLOps/LLMOps, GPU infrastructure, containerization, Kubernetes, CI/CD, and secure model lifecycle management.
• Experience with federal law enforcement, intelligence, or national security organizations.
• Familiarity with NIST AI RMF, RMF, and federal AI governance requirements.
• Advanced GIAC AI Security Automation Engineer, CISSP, CISM, relevant SANS/GIAC, or comparable AI/ML engineering certifications.

Culture & Benefits

• Mission-driven work supporting defense, intelligence, and federal civilian agencies.
• Culture focused on delivery excellence, innovation, accountability, and professional development.
• Benefits are provided through the employer's general benefits program.