Tech Stack
AWSAzureCloudCyber SecurityDNSLinuxPythonTCP/IPUnix
About the role
- Work as part of a small cross-functional team, participate in development and support.
- Lead integration and management of AI/ML technologies into security solutions to combat threats.
- Provide oversight and ensure compliance with security policies and programs related to AI, including secure development lifecycles and vulnerability management processes.
- Lead or support cybersecurity risk assessments, audits, program development, and incident response exercises, especially those involving AI systems.
- Establish and maintain secure development environments within AI platforms and integrated tools.
- Work with security teams and legal/business stakeholders to operate new cybersecurity AI/ML legislation.
- Collaborate with cross-functional teams, including AI/ML developers, security architects, and business stakeholders.
- Develop training programs to raise awareness of AI security risks and mitigation options.
- Threat modeling and risk assessment; identifying vulnerabilities and mitigating risks.
- Design and implement technical solutions (e.g., DLP, SIEM, endpoint monitoring) to support insider risk/threat detection, logging, and telemetry ingestion.
- Develop actionable security blueprints, principles, models, designs, standards, and guidelines to ensure IT architecture is secure and adds value.
- Tune and optimize system performance to reduce false positives and keep detection logic relevant to changing environments.
- Support secure deployment of behavior analytics models; ensure infra and access controls meet privacy/governance requirements.
- Contribute to automated response capabilities, including alerting, blocking, or throttling based on insider risk thresholds.
Requirements
- Bachelor's degree in computer science, Information Technology or Information Security. Master’s degree preferred.
- 10+ years of IT Security related experience.
- Deep understanding of Artificial Intelligence (AI) and machine learning (ML) to develop, implement, and manage secure AI-driven solutions.
- Strong technical foundation in cybersecurity and AI with effective leadership, communication, and strategic thinking abilities.
- Knowledge of computer networks, operating systems (Windows, Linux, UNIX), cloud computing (AWS, Azure), network security protocols (TCP/IP, DNS, HTTPS, etc.), cryptography, and database security.
- Experience with system integration and scripting, including APIs, log forwarding, and automation via Python, PowerShell, or Bash.
- Strong understanding of insider risk concepts, threat modeling, risk assessments, and security frameworks (NIST, ISO 27001).
- Design and implement technical solutions (e.g., DLP, SIEM, endpoint monitoring) to support insider risk/threat detection, logging, and telemetry ingestion.
- Able to develop secure development environments within AI platforms and integrated tools; ensure privacy and governance.
- Must be a US Citizen or Permanent US Resident; must obtain Public Trust Clearance; pass drug screening, criminal history, and credit checks; must have lived in the United States for the past 5 years; cannot have more than 6 months travel outside the United States within the last five years; military service excluded.
- Cloud security experience (AWS, Azure, Google Cloud) and securing AI systems; AI security certifications a plus.