AI Cyber Security Subject Matter Expert

Argo Cyber Systems•Arlington, VA

6d•$140,000 - $160,000

About The Position

Argo Cyber Systems, LLC is seeking a senior AI Security Subject Matter Expert to support a mission-critical U.S. Government cybersecurity program defending federal civilian agencies and critical infrastructure. The role identifies, evaluates, and implements artificial intelligence and machine learning capabilities for threat detection, incident response, threat hunting, and security operations. The SME works across security operations, engineering, data science, and government stakeholder teams to turn emerging AI technologies into practical, mission-focused security capabilities. The position combines cybersecurity expertise, practical AI/ML knowledge, strategic planning, and technical leadership. The SME develops AI cybersecurity strategies and implementation roadmaps, advises leadership and government stakeholders, leads cross-functional initiatives, and supports the operational adoption of responsible AI solutions. The work location is to be confirmed. The role requires U.S. citizenship, an active TS/SCI clearance, and the ability to obtain DHS Suitability. Candidates must have a bachelor's degree in a relevant technical field and at least 10 years of directly relevant professional experience, including specified cybersecurity, AI/ML, and project or technical leadership experience. A master's degree and relevant professional certifications are preferred. Employment is contingent on required background investigations and pre-employment screenings.

Requirements

U.S. citizenship.
Active Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.
Ability to obtain DHS Suitability.
At least 10 years of directly relevant professional experience.
At least 5 years of experience in cybersecurity or related technical disciplines.
At least 3 years of experience working with artificial intelligence, machine learning, or data-driven security solutions.
At least 3 years of experience in project management, program management, or technical leadership.
Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or a related technical field.
Strong understanding of AI/ML fundamentals, including neural networks, natural language processing, model training, validation, and deployment.
Extensive knowledge of cybersecurity operations, cyber threat landscapes, security architecture, and defensive technologies.
Working knowledge of MITRE ATT&CK, SIEM/SOAR platforms, and security operations workflows.
Familiarity with behavioral analytics, threat hunting, malware analysis, phishing detection, and vulnerability management.
Ability to identify practical AI applications and translate technical concepts into operational solutions.
Experience developing technology roadmaps and managing complex technical initiatives.
Proficiency with Agile, Waterfall, or hybrid project management approaches.
Experience with project management platforms such as Jira, Microsoft Project, Asana, or comparable tools.
Strong communication, analytical thinking, stakeholder engagement, and technical leadership skills.
Ability to influence multidisciplinary teams and work effectively in rapidly evolving technical environments.

Nice To Haves

Master's degree in a relevant technical discipline.
Experience securing AI systems and implementing AI-enabled cybersecurity solutions within Security Operations Centers (SOCs).
Experience identifying, analyzing, or defending against AI-enabled cyberattacks and adversarial AI techniques.
Background in security analytics, data engineering, cyber threat intelligence, or security automation.
Experience with cloud security technologies across Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
Knowledge of AI governance, responsible AI practices, ethical AI principles, and related security considerations.
Familiarity with privacy and regulatory requirements, including GDPR, CCPA, or industry-specific security frameworks.
Experience with security automation, orchestration, and integration technologies.
One or more preferred certifications: CISSP, CISM, PMP, PMI-ACP, or relevant AI/ML certifications.

Responsibilities

Develop strategic roadmaps for AI-enabled cybersecurity capabilities aligned with organizational objectives and risk posture.
Identify high-value AI/ML use cases in security operations, threat detection, incident response, vulnerability management, and cyber threat intelligence.
Evaluate emerging AI technologies, platforms, and solutions for operational effectiveness and mission applicability.
Assess AI-enabled threats, adversarial machine learning techniques, and risks associated with AI adoption.
Recommend AI prototypes, pilot programs, and proof-of-concept initiatives to improve cyber defense.
Translate operational cybersecurity requirements into AI/ML solution specifications.
Collaborate with analysts, data scientists, engineers, and infrastructure teams to design and implement AI-enabled security capabilities.
Evaluate opportunities to integrate AI into SIEM, SOAR, threat hunting, security analytics, and automated incident response workflows.
Assess AI adoption readiness, dependencies, operational risks, and integration requirements; ensure proposed solutions meet security, privacy, governance, and compliance requirements.
Apply knowledge of AI model training, validation, deployment, and lifecycle management to security implementations.
Develop implementation roadmaps with milestones, schedules, dependencies, and measurable outcomes.
Lead cross-functional AI cybersecurity initiatives involving operations, engineering, data science, and government stakeholders.
Develop project schedules, resource estimates, and budget recommendations.
Identify program risks, track progress, and develop mitigation strategies.
Coordinate technical and operational workstreams to support AI integration.
Apply Agile, Waterfall, or hybrid project management methodologies as appropriate.
Serve as a technical advisor to cybersecurity leadership and government stakeholders.
Communicate AI and cybersecurity concepts to technical and nontechnical audiences and present recommendations, progress, risks, and opportunities to senior leadership.
Develop metrics and KPIs to evaluate AI-enabled security capabilities.
Support change management, workforce readiness, training, documentation, and knowledge transfer.
Promote practical and responsible AI adoption within cybersecurity operations.