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Delivery Project Lead

3 - 5 years

0 Lacs

bengaluru karnataka india

Posted:22 hours ago| Platform: Foundit logo

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Skills Required

shap ai ml security frameworks zero trust architecture soc 2 google security command center aws shield owasp zap lime azure security center multi-cloud security nist

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Security Architect - AI Products & Multi-Cloud Security

Location

Job Summary

Security Architect

Key Responsibilities

  • Application Security

    :
  • Develop security policies and practices for AI and ML models.
  • Conduct security assessments, code reviews, and threat modeling for AI applications.
  • Implement security measures following

    OWASP Top 10

    guidelines to prevent common vulnerabilities.

  • DevSecOps

    :
  • Integrate security into CI/CD pipelines to enable automated security testing.
  • Use tools like

    GitHub Actions, Jenkins

    , and

    Terraform

    to automate infrastructure security checks.
  • Promote secure coding standards and practices across development teams.

  • Data Security

    :
  • Design and implement data protection mechanisms such as encryption (both at rest and in transit) and data anonymization techniques.
  • Ensure compliance with data privacy regulations such as

    GDPR

    and

    CCPA

    .
  • Utilize tools like

    Data Loss Prevention (DLP)

    and

    data masking

    technologies for sensitive data protection.

  • Identity & Access Management (IAM)

    :
  • Develop and enforce IAM strategies across multi-cloud platforms (AWS, Azure, GCP).
  • Implement

    Zero Trust Architecture

    and role-based access controls (RBAC) to safeguard user access.
  • Utilize

    multi-factor authentication (MFA)

    and identity federation protocols.

  • AI Security & AI Guardrails

    :
  • Define AI guardrails to mitigate risks like model drift, bias, adversarial attacks, and unauthorized model access.
  • Implement AI model monitoring tools like

    LIME

    ,

    SHAP

    , and

    IBM AIF360

    for model interpretability and fairness.
  • Promote

    Responsible AI

    practices, ensuring ethical AI deployment and compliance with industry standards.

  • Cloud Security

    :
  • Architect and implement secure cloud environments using

    AWS, Azure, and GCP

    services.
  • Leverage cloud-native security tools such as

    AWS Shield

    ,

    Azure Security Center

    , and

    Google Security Command Center

    .
  • Conduct regular cloud security audits and vulnerability assessments.

  • Compliance & Governance

    :
  • Ensure alignment with security and compliance frameworks like

    NIST

    ,

    ISO 27001

    , and

    SOC 2

    .
  • Lead security audits and penetration testing to identify and mitigate vulnerabilities.
  • Establish security policies and guidelines to ensure organizational compliance.

    • Technical Skills Required

  • 3+ years

    of experience in Data Privacy,cybersecurity, focusing on AI and cloud security.
  • Hands-on experience with one major cloud (AWS, Azure, or GCP) or preferably

    multi-cloud security

    (AWS, Azure, GCP)and AI model governance.
  • Strong knowledge of

    DevSecOps

    practices and automated security testing.
  • Proficiency with

    AI/ML security frameworks

    and tools for monitoring and securing AI models.
  • Experience with security tools like

    Burp Suite, OWASP ZAP

    , and

    SonarQube

    .
  • Familiarity with AI ethics, model explainability tools (e.g.,

    LIME

    ,

    SHAP

    ), and AI risk management.
  • Strong understanding of Privacy by Design Principle,

    data privacy regulations

    (GDPR, CCPA) and data security best practices.
  • Knowledge of

    identity management

    solutions and best practices in IAM.
  • Strong knowledge of Data lifecycle management in AI context.

    • Preferred Qualifications

  • Certified Information Systems Security Professional (CISSP)

  • Certified Cloud Security Professional (CCSP)

  • AWS Certified Security - Specialty

  • Azure Security Engineer Associate

  • Certified AI Ethics & Governance Professional

    • Soft Skills

  • Excellent communication skills to collaborate with cross-functional teams, including Data Science, DevOps, and Product Management.
  • Strong analytical and problem-solving abilities.
  • Proven ability to stay updated with the latest security trends, AI regulations, and cloud technologies.
  • Ability to articulate security concepts and practices to both technical and non-technical stakeholders.

    • Nice-to-Have

  • Experience with

    Machine Learning Operations (

    MLOps

    )

    security.
  • Hands-on knowledge of

    Container Security

    (Docker, Kubernetes).
  • Familiarity with

    AI ethics frameworks

    and

    AI safety research

    .
  • Exposure to

    Responsible AI

    tools and methodologies.

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