Orcapod Consulting Services
Chief Technology Officer/Chief Scientist - AI Security
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Not specified
- Experience
- 15+ years
- Category
- Software engineering
- Posted
Skills
Must have
- - 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.
Nice to have
- - 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.
Full description
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.