Senior Security Architect

Senior Security Architect

Posted 7 days ago by ARM on CVLibrary

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Negotiable
Inside
Hybrid
City of London, London
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Algorithms Amazon Web Services (AWS) Artificial Intelligence Certified Information Security Manager (CISM) Cloud Computing Cloud Technology Cyber Security Data Privacy Laws DevSecOps Google Cloud Platform (GCP) Machine Learning Management Microsoft Azure Risk Analysis Security Clearance Security Strategies Sherwood Applied Business Security Architecture Stakeholder Management Threat Modeling Togaf

Summary: The Senior Security Architect role focuses on enhancing security measures within the telecoms industry, particularly in the realm of Artificial Intelligence (AI) and Machine Learning (ML). The position requires a candidate with active SC Clearance and significant experience in strategic cybersecurity, influencing organizational objectives through AI/ML security. The role is hybrid, requiring 1-2 days per week on-site in London, and emphasizes collaboration with various stakeholders.

Key Responsibilities:

  • Develop and implement AI/ML security strategies aligned with business objectives.
  • Influence organizational security practices and frameworks.
  • Conduct threat modeling, risk analysis, and architectural validations.
  • Manage AI security tool implementation and ensure compliance with data privacy regulations.
  • Provide expertise in cloud security across platforms like Azure, AWS, and GCP.
  • Collaborate with stakeholders to enhance communication and influence security initiatives.

Key Skills:

  • Strong strategic cybersecurity experience.
  • Current Security Professional Certification (CISSP, CISM).
  • Proven understanding of security frameworks (NIST, ISO 27001, TOGAF, SABSA).
  • Deep understanding of AI/ML concepts, algorithms, models, regulations, and controls.
  • Extensive technical experience in AI/ML Security Architecture.
  • Proven threat modeling, risk analysis, and architectural validations.
  • In-depth knowledge of adversarial machine learning mitigation.
  • Comprehensive understanding of ethical AI and governance.
  • Proven AI security tool implementation and management.
  • Extensive experience with AI/ML data privacy regulations (GDPR, CCPA).
  • Strong DevSecOps expertise for AI/ML pipelines.
  • Good strategic risk analysis and problem-solving skills.
  • Effective communication and stakeholder influence abilities.
  • Good cloud security experience (Azure, AWS, GCP).

Salary (Rate): 765

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Senior

Industry: IT

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