Senior Principal Architect, Cyber Security – AI

• Provide senior security architecture leadership for AI initiatives ensuring AI systems and services are secure by design and aligned with enterprise cyber security strategy risk appetite and regulatory expectations.
• Define and maintain AI security principles standards guardrails reference architectures design patterns and production readiness criteria across the AI lifecycle.
• Advise on secure architecture for AI platforms MLOps pipelines data pipelines model registries vector databases RAG solutions prompt orchestration layers APIs AI agents and cloud-based AI services.
• Design and support implementation of security controls across identity and access management privileged access secrets management encryption key management network security secure APIs logging monitoring resilience and incident response.
• Conduct AI-focused risk assessments threat modelling architecture reviews and control gap assessments for new and existing AI use cases.
• Identify and support mitigation of AI-specific risks including data leakage prompt injection model extraction model inversion training data poisoning insecure output handling excessive agency insecure RAG implementations supply chain compromise and unauthorised access.
• Partner with engineering data science platform and security teams to embed security into AI development MLOps CI/CD pipelines deployment workflows and operational monitoring.
• Advise on secure handling of training validation test and production data including data minimisation anonymisation access control retention lineage provenance and protection of confidential or regulated information.
• Assess security risks associated with third-party AI platforms foundation models SaaS AI tools APIs open-source models datasets plugins extensions and model marketplaces.
• Define security requirements for AI vendor due diligence procurement onboarding contractual review and ongoing supplier assurance.
• Work with security operations and incident response teams to define AI-specific logging monitoring detection investigation and response requirements.
• Monitor AI security developments emerging threats attack techniques industry standards and regulatory expectations translating them into practical internal controls and guidance.
• Promote AI security awareness across engineering production data science business and technology teams through guidance workshops reusable patterns and stakeholder engagement.
• Support the Director of Cyber Security Architecture with AI security strategy governance reporting and other duties as required.

Qualifications :

• Significant experience in cyber security architecture application security cloud security platform security data security or technology risk.
• Practical understanding of AI machine learning generative AI large language models MLOps cloud AI services and AI-enabled application architectures.
• Experience designing reviewing or implementing security controls for complex technology environments.
• Experience conducting risk assessments threat modelling security architecture reviews and control gap assessments.
• Understanding of AI-specific threats including prompt injection data leakage data poisoning model extraction model inversion insecure output handling supply chain compromise and misuse of AI agents.
• Knowledge of secure software development DevSecOps CI/CD pipelines APIs identity and access management encryption logging monitoring and vulnerability management.
• Experience working with cloud platforms and modern data architectures.
• Ability to translate complex technical risks into clear business language for senior stakeholders.
• Strong communication documentation stakeholder management and influencing skills.
• Preferred Experience
• Experience working with AI/ML engineering teams data science teams AI platform teams or product teams delivering AI-enabled services.
• Experience with MLOps platforms model registries feature stores vector databases RAG architectures prompt orchestration frameworks or AI agent frameworks.
• Experience with AI GenAI or LLM security testing red teaming or adversarial testing.
• Familiarity with relevant AI security and governance frameworks such as NIST AI RMF OWASP Top 10 for LLM Applications MITRE ATLAS ISO/IEC 42001 ISO 27001 NCSC/CISA secure AI guidance CSA AI Controls Matrix and applicable AI or privacy regulations.
• Experience assessing third-party AI services SaaS AI tools open-source models foundation model providers or cloud AI platforms.
• Experience creating security standards control frameworks technical patterns policies or governance processes.
• Experience in a regulated industry such as financial services healthcare telecommunications energy defence or critical infrastructure would be advantageous.

Key Skills and Competencies

• Strong cyber security architecture and risk management capability.
• Practical understanding of AI security risks and secure AI lifecycle practices.
• Ability to design pragmatic security controls that enable innovation while managing risk.
• Strong analytical problem-solving communication and stakeholder management skills.
• Ability to work across technical risk compliance legal privacy and business teams.
• Ability to influence senior stakeholders and delivery teams without direct authority.
• Comfortable working with ambiguity emerging technology and fast-moving delivery environments.
• Strong documentation standards development and policy-writing capability.

Measures of Success

• AI security architecture standards and control framework defined adopted and continuously improved.
• Security requirements embedded into AI delivery governance and production readiness processes.
• AI use cases assessed consistently before deployment.
• High-risk AI security findings identified tracked and reduced.
• Improved visibility of AI assets vendors models data flows and production deployments.
• Reusable AI security patterns and guardrails adopted by engineering AI and platform teams.
• Improved AI security awareness across relevant business and technology teams.
• Alignment demonstrated with internal policies external standards and regulatory expectations.

Additional Information :

Pay Range - CAD $129000 to $180000 /annually

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process including résumé screening candidate assessments interview scheduling job matching communication support and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQs principles of fairness transparency human oversight and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions require accommodations or wish to request human review were permitted by law please contact your local HR representative. For more information please visit NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 2023 NIQ combined with GfK bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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Our commitment to Diversity Equity and Inclusion

At NIQ we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race color religion sex (including pregnancy sexual orientation or gender identity) national origin age disability genetic information marital status veteran status or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion please visit the Work :

Yes

Employment Type :

Full-time

Experience: years
Vacancy: 1