Subject Matter Expert I

ARSIEM•Arlington, VA

4d•Onsite

About The Position

ARSIEM Corporation is seeking an AI Subject Matter Expert to bridge artificial intelligence innovation and practical cyber defense operations. The role combines AI expertise, cybersecurity knowledge, and project management capabilities to support the strategic adoption of AI technologies in a government client’s security infrastructure in Arlington, Virginia. The position defines AI-enhanced security capabilities, evaluates AI/ML applications and technologies for cyber defense, and develops and manages roadmaps and implementation initiatives. It coordinates cross-functional teams and stakeholders, ensures implementations meet security, privacy, and compliance requirements, and supports readiness, change management, training, and knowledge transfer.

Requirements

Bachelor's degree in Engineering, Computer Science, Cybersecurity, Information Systems, or a related field; a master's degree is preferred.
10 or more years of directly relevant experience.
5 or more years of experience in cybersecurity or related technical roles.
3 or more years working with AI/ML technologies or data-driven security solutions.
3 or more years in project/program management or technical leadership roles.
Ability to envision long-term AI security capabilities and create actionable paths forward.
Understanding of machine learning fundamentals, neural networks, natural language processing, and the AI model lifecycle.
Adaptability in rapidly evolving AI and threat landscapes.
Ability to influence cross-functional teams without direct authority.
Strong knowledge of security operations, the threat landscape, defense frameworks such as MITRE ATT&CK, SIEM/SOAR platforms, and security architecture.
Familiarity with use cases such as behavioral analytics, threat hunting, malware analysis, phishing detection, and vulnerability management.
Proven experience developing roadmaps and managing complex technical projects.
Proficiency with Agile, Waterfall, or hybrid project management methodologies.
Strong resource planning, schedule development, and stakeholder management skills.
Experience with project management tools such as Jira, MS Project, Asana, or similar.
Active TS/SCI clearance and ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability.

Nice To Haves

Master's degree.
Experience securing AI systems, using AI in defensive system operations (such as a SOC), and thwarting AI-enabled attacks.
Background in data engineering, security analytics, or threat intelligence.
Familiarity with cloud security platforms such as AWS, Azure, or GCP.
Knowledge of AI governance, ethics, and responsible AI principles.
Understanding of regulatory requirements such as GDPR, CCPA, and industry-specific frameworks.
Experience with automation and orchestration platforms.
CISSP, CISM, PMP, PMI-ACP, or AI/ML certifications.

Responsibilities

Define a strategic vision for AI-enhanced security capabilities aligned with organizational risk posture.
Identify and evaluate AI/ML use cases for cyber defense, threat detection, incident response, and security operations.
Assess emerging AI technologies for security challenges such as anomaly detection, threat intelligence, and automated response.
Stay current on the AI threat landscape, including adversarial AI and AI-powered attacks.
Bridge communication among technical teams, security operators, and business stakeholders.
Evaluate complex security challenges and identify appropriate AI solutions.
Translate cybersecurity requirements into AI solution specifications.
Evaluate AI/ML platforms, tools, and vendors for security applications.
Define and advocate for AI prototyping or piloting initiatives as risk reduction measures.
Collaborate with data science, security operations, and infrastructure teams on solution architecture.
Develop AI cybersecurity roadmaps with milestones and dependencies, aligning them with broader organizational roadmaps and strategies.
Create project schedules, resource plans, and budget estimates.
Manage cross-functional implementation teams, including security analysts, data scientists, and engineers.
Track project progress, identify risks, and implement mitigation strategies.
Facilitate stakeholder communication and executive reporting on AI security initiatives.
Coordinate stakeholders and workstreams to address use cases and inform strategy.
Ensure AI implementations meet security, privacy, and compliance requirements.
Understand model training, validation, and deployment pipelines in security contexts.
Conduct readiness assessments for AI adoption within security operations.
Design change management strategies for integrating AI tools into existing workflows.
Develop success metrics and KPIs for AI security implementations.
Create documentation and training materials, and support knowledge transfer programs.