Chief Technology Officer/Chief Scientist - AI Security

Key Responsibilities :

- Define and drive the technology vision, AI security roadmap, and product strategy.

- Lead the design and development of AI-powered cybersecurity solutions and intelligent threat detection platforms.

- Build scalable AI/ML architectures for security analytics, anomaly detection, fraud prevention, and cyber defense.

- Drive research and innovation in Generative AI, LLM security, adversarial AI, and AI governance.

- Establish enterprise architecture, security standards, and engineering best practices.

- Lead and mentor multidisciplinary teams of AI researchers, data scientists, security engineers, and software architects.

- Collaborate with executive leadership, customers, and stakeholders to align technology initiatives with business objectives.

- Oversee cloud architecture, platform modernization, DevSecOps, and secure software development practices.

- Evaluate emerging technologies and drive innovation through research, experimentation, and product development.

- Ensure compliance with cybersecurity, privacy, and regulatory standards.

Required Skills :

- 15-24 years of experience in Technology Leadership, AI/ML, or Cybersecurity.

- Strong expertise in :

i. Artificial Intelligence & Machine Learning

ii. Generative AI & Large Language Models (LLMs)

iii. AI Security & Adversarial AI

iv. Cybersecurity Architecture

v. Cloud Platforms (AWS, Azure, or GCP)

vi. Enterprise Architecture

vii. Secure Software Development

- Experience designing and deploying enterprise-scale AI platforms and security solutions.

- Strong knowledge of Python and modern AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

- Experience with data engineering, MLOps, DevSecOps, and cloud-native architectures.

- Proven leadership experience managing large engineering, research, or technology organizations.

- Excellent strategic thinking, stakeholder management, and executive communication skills.

Preferred Skills :

- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Cybersecurity, or a related field.

- Experience in AI governance, Responsible AI, and security compliance frameworks.

- Publications, patents, or contributions in AI or cybersecurity research.

- Experience leading enterprise AI transformation or cybersecurity product organizations.

- Familiarity with Zero Trust Architecture, Identity & Access Management (IAM), and modern security frameworks.