AI Cyber Security Subject Matter Expert

Argo Cyber Systems•Arlington, VA

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 AI and machine-learning capabilities to improve 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 capabilities and advises on responsible operational adoption. The position combines cybersecurity expertise, practical AI/ML knowledge, strategic planning, technical leadership, and program delivery. It includes developing AI cybersecurity strategy and roadmaps, assessing technology and risks, guiding solution architecture and integration, leading cross-functional implementation efforts, and communicating recommendations and results to leadership and government stakeholders. Work location is to be confirmed. The role requires U.S. citizenship, an active TS/SCI clearance, and ability to obtain DHS Suitability.

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 project management, program management, or technical leadership experience.
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.
Demonstrated 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.
Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or a related technical field.

Nice To Haves

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.
Master's degree in a relevant technical discipline.
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 AI integration opportunities in SIEM, SOAR, threat hunting, security analytics, and automated incident response workflows.
Assess AI adoption readiness, technical dependencies, operational risks, and integration requirements.
Ensure proposed solutions meet applicable 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 security operations, engineering, data science, and government stakeholders.
Develop project schedules, resource estimates, and budget recommendations.
Identify program risks, track implementation progress, and develop mitigation strategies.
Coordinate technical and operational workstreams supporting AI integration.
Apply Agile, Waterfall, or hybrid project management methodologies as appropriate.
Advise cybersecurity leadership and government stakeholders on technical matters.
Communicate AI and cybersecurity concepts to technical and nontechnical audiences and present recommendations, progress, risks, and opportunities to senior leadership.
Develop performance metrics and KPIs for AI-enabled security capabilities.
Support change management, workforce readiness, training, documentation, and knowledge transfer.
Promote practical and responsible adoption of AI in established cybersecurity operations.