Cybersecurity Artificial Intelligence Engineer
Oak Ridge, TN - USA
Job Summary
Location: Oak Ridge TN
Job Title: Cybersecurity Artificial Intelligence Engineer
Career Level From: Senior Specialist
Career Level To: Advisor
Job Specialty: Cyber Security
The Cyber Artificial Intelligence Engineer is responsible for designing developing and implementing advanced security solutions that leverage Artificial Intelligence (AI) and Machine Learning (ML) to enhance threat detection response and prevention capabilities. This role involves executing system security design development testing and implementation with a strong focus on integrating AI/ML into existing and new cybersecurity frameworks. The Cyber AI Engineer will identify design and execute security projects that improve detection and response capabilities through intelligent automation. They will also conduct software and systems engineering and research to develop new capabilities with fully integrated cybersecurity alongside comprehensive technology research to evaluate potential vulnerabilities in the cyber domain including those related to AI systems themselves.
- Design and implement AI/ML models for cybersecurity applications such as intrusion detection malware analysis vulnerability assessment and predictive security.
- Leverage AI/ML to enhance real-time threat detection anomaly identification and predictive security capabilities.
- Analyze large datasets using AI/ML techniques to identify patterns and anomalies indicative of cyber threats.
- Develop algorithms specifically designed to identify and protect against cybersecurity attacks.
- Contribute to the automation of cybersecurity tasks through the application of AI and scripting.
- Provide cybersecurity planning assessment risk analysis and risk management across all domains with a view to AI-driven security strategies.
- Define baseline system security requirements and determine if system analysis meets cybersecurity requirements including secure AI deployments.
- Determine and translate functional requirements and specifications into technical solutions for AI-powered security systems.
- Develops and implements test plans to address security specifications and requirements for AI-driven security tools.
- Performs operational testing and validation of AI security models.
- Participate in the Change Management process including review of change requests related to AI system integration.
- Works on project teams responsible for engineering and packaging software releases ensuring AI components are securely integrated within the production environment.
- Monitors and provides input for software updates and patches vendor licensing management security planning and risk management with an emphasis on AI-specific security considerations.
- Meaningful work and unique opportunities to support missions vital to national and global security
- Top-notch dedicated colleagues
- Generous pay and benefits with a stable organization
- Career advancement and professional development programs
- Work-life balance fostered through flexible work options and wellness initiatives
- Bachelors degree in engineering/science discipline: Minimum 7 years of relevant experience.
- OR Masters degree in engineering/science discipline: Minimum 5 years of relevant experience.
- Experience and/or certifications associated with RMF ICD 503 NIST SP800-53 or DCID 6/3.
- Experience in continuous authorization practices.
- Experience applying NIST 800-53 security controls to OT environments.
- Experience designing securing OT environments in accordance with NIST SP 800-82.
- Experience applying risk management framework to OT systems.
- Knowledge of systems security engineering (SSE) principles and practices.
- Knowledge of OT system threats and vulnerabilities.
- Knowledge of Risk Management Framework requirements and process.
- Hold at least one of the following certifications: Certified Information Systems Security Professional (CISSP) Global Information Security Professional (GISP) or the CompTIA Advanced Security Practitioner (CASP) or other certifications exemplifying skill sets such as those described in DOD Instruction 8570.1 Information Assurance Management (IAM) Level III proficiency.
- Knowledge of DOE and NNSA mission and cybersecurity requirements.
- Knowledge of laws policies procedures or governance relevant to cybersecurity for critical infrastructures.
- Experience with machine learning algorithms deep learning and natural language processing in a cybersecurity context.
- Familiarity with AI security concepts including identifying bugs in code understanding system vulnerabilities through AI and securing AI models from malicious use.
- Experience with AI monitoring and real-time threat detection systems.
- Understanding of AI governance ethical considerations and responsible AI usage in cybersecurity.
- Experience with Governance Risk and Compliance platforms and AI implementations within these environments.
CNS is a drug-free workplace. Candidates accepting a job offer will be required to pass a pre-placement physical drug screening and background investigation. As an employee you may be required to receive and maintain a security clearance from the United States Department of Energy in order to meet eligibility requirements for access to sensitive information or matter. U.S. citizenship is a requirement for security clearance applicants. All employees are subject to being randomly selected for drug testing without advance notification.
CNS is an equal opportunity employer. All qualified applicants will receive consideration for employment based on merit and without regard to race color religion sex sexual orientation national origin protected veteran status or disability.
Required Experience:
IC