AI Security Manager

Noida - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

About the Role

As an AI Security Engineer within the AI Transformation team you will play a crucial role in ensuring our AI products and solutions uphold the highest standards of security and compliance.
Collaborate closely with AI developers DevOps engineers and product teams to identify potential security vulnerabilities implement best practices and ensure compliance with regulatory standards including GDPR SOC 2 and others.
Lead security assessments penetration testing and vulnerability management for AI systems to proactively mitigate risks.
Act as the security expert in designing developing and deploying secure AI and machine learning applications with a focus on safeguarding personally identifiable information (PII).
Stay ahead of emerging cybersecurity threats privacy regulations and compliance requirements to ensure that our AI solutions continuously meet and exceed market standards.
Document security protocols conduct training sessions and promote security awareness within the team and organization.
Engage with stakeholders across multiple disciplines to refine security policies and procedures specific to AI and ML products.

Required Skills and Experience

Minimum of 8 years experience in cybersecurity particularly focused on securing software and data-intensive products.
Proven expertise in GDPR compliance SOC 2 audits and handling of sensitive PII.
Strong experience in penetration testing vulnerability assessments and security incident response.
Proficiency with cybersecurity frameworks such as NIST ISO 27001 or CIS Controls.
Hands-on experience with cloud security practices especially within Microsoft Azure including identity management access controls and secure networking configurations.
Deep understanding of AI/ML systems architecture and the associated security considerations.
Excellent communication skills with the ability to clearly articulate complex security topics to both technical and non-technical audiences.
Proven ability to collaborate effectively with cross-functional teams including engineering legal compliance and business stakeholders.

Preferred Skills

Certifications such as CISSP CEH CompTIA Security or relevant Microsoft Azure security certifications.
Familiarity with AI-specific regulatory environments and ethical considerations surrounding AI deployment.
Experience with data anonymization techniques and privacy-preserving machine learning methodologies.
Understanding of DevSecOps principles and experience integrating security into CI/CD pipelines.
Previous experience within professional services or consulting environments demonstrating client-facing capabilities and problem-solving skills.
Strong analytical and problem-solving skills capable of navigating ambiguous scenarios and rapidly evolving threats.

About the Role As an AI Security Engineer within the AI Transformation team you will play a crucial role in ensuring our AI products and solutions uphold the highest standards of security and compliance. Collaborate closely with AI developers DevOps engineers and product teams to identify potent...

About the Role

As an AI Security Engineer within the AI Transformation team you will play a crucial role in ensuring our AI products and solutions uphold the highest standards of security and compliance.
Collaborate closely with AI developers DevOps engineers and product teams to identify potential security vulnerabilities implement best practices and ensure compliance with regulatory standards including GDPR SOC 2 and others.
Lead security assessments penetration testing and vulnerability management for AI systems to proactively mitigate risks.
Act as the security expert in designing developing and deploying secure AI and machine learning applications with a focus on safeguarding personally identifiable information (PII).
Stay ahead of emerging cybersecurity threats privacy regulations and compliance requirements to ensure that our AI solutions continuously meet and exceed market standards.
Document security protocols conduct training sessions and promote security awareness within the team and organization.
Engage with stakeholders across multiple disciplines to refine security policies and procedures specific to AI and ML products.

Required Skills and Experience

Minimum of 8 years experience in cybersecurity particularly focused on securing software and data-intensive products.
Proven expertise in GDPR compliance SOC 2 audits and handling of sensitive PII.
Strong experience in penetration testing vulnerability assessments and security incident response.
Proficiency with cybersecurity frameworks such as NIST ISO 27001 or CIS Controls.
Hands-on experience with cloud security practices especially within Microsoft Azure including identity management access controls and secure networking configurations.
Deep understanding of AI/ML systems architecture and the associated security considerations.
Excellent communication skills with the ability to clearly articulate complex security topics to both technical and non-technical audiences.
Proven ability to collaborate effectively with cross-functional teams including engineering legal compliance and business stakeholders.

Preferred Skills

Certifications such as CISSP CEH CompTIA Security or relevant Microsoft Azure security certifications.
Familiarity with AI-specific regulatory environments and ethical considerations surrounding AI deployment.
Experience with data anonymization techniques and privacy-preserving machine learning methodologies.
Understanding of DevSecOps principles and experience integrating security into CI/CD pipelines.
Previous experience within professional services or consulting environments demonstrating client-facing capabilities and problem-solving skills.
Strong analytical and problem-solving skills capable of navigating ambiguous scenarios and rapidly evolving threats.