AI/ML Cybersecurity Lead
First seen by Alion on Aug 7, 2026.
Role Overview :
As an AI/ML Cybersecurity Lead, you will be responsible for overseeing the implementation and enhancement of artificial intelligence and machine learning technologies within the cybersecurity domain. Your role will involve designing, developing, and deploying innovative AI/ML solutions to detect and mitigate cyber threats, as well as providing leadership and guidance to a team of cybersecurity professionals.
Roles & Responsibilities :
- Lead the design and development of AI/ML-based cybersecurity solutions to detect, prevent, and respond to cyber threats.
- Collaborate with cross-functional teams to identify requirements, develop algorithms, and integrate AI/ML capabilities into existing cybersecurity systems.
- Conduct research on emerging AI/ML techniques and technologies to stay abreast of advancements in the field and identify opportunities for improvement.
- Evaluate and test AI/ML models to ensure accuracy, reliability, and scalability in real-world cybersecurity environments.
- Provide technical expertise and guidance to cybersecurity analysts and engineers on AI/ML concepts, tools, and best practices.
- Monitor and analyze cybersecurity data to identify patterns, trends, and anomalies that may indicate potential security incidents.
- Work closely with stakeholders to understand business objectives and align AI/ML initiatives with organizational goals and priorities.
- Stay up to date on the latest cybersecurity threats, vulnerabilities, and attack vectors to inform decision-making and enhance defensive strategies.
- Participate in incident response activities, including investigating security incidents, conducting root cause analysis, and implementing remediation measures.
- Communicate complex technical concepts and findings to non-technical stakeholders, including executives, clients, and regulatory bodies.
Qualifications :
- Bachelors degree in computer science, Engineering, Information Security, or a related field; masters degree preferred.
- Extensive experience (5+ years) in cybersecurity, with a focus on AI/ML technologies.
- Proven track record of designing and implementing AI/ML solutions in a cybersecurity context.
- Strong understanding of cybersecurity principles, including threat detection, intrusion detection/prevention, and vulnerability management.
- Proficiency in programming languages commonly used in AI/ML development (e.g., Python, R) and familiarity with relevant libraries and frameworks (e.g., TensorFlow, scikit-learn).
- Knowledge of data science concepts and techniques, such as statistical analysis, machine learning algorithms, and data visualization.
- Excellent analytical and problem-solving skills, with the ability to interpret complex data sets and derive actionable insights.
- Effective communication skills, with the ability to convey technical information clearly and concisely to diverse audiences.
- Relevant certifications (e.g., CISSP, CEH, CISM) are a plus.
Skills
Cyber Security, Machine Learning, Artificial Intelligence, Python, ERAI Framework, IT Security Strategy, Cyber Defense, Vulnerability Management, Algorithm, Security Protocols, Security Architect - AI