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For Companies At a Glance
- Tasks: Lead the design and implementation of AI security across major cloud platforms.
- Company: Join a global leader in essential intelligence with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible time off, and continuous learning opportunities.
- Why this job: Make a real impact in AI security while working with cutting-edge technology.
- Qualifications: 10+ years in Information Security with expertise in cloud and AI/ML security.
- Other info: Be part of a diverse team committed to advancing a sustainable future.
The predicted salary is between 120000 - 160000 £ per year.
We are seeking a seasoned GenAI Cloud Security Chief Architect to design, implement, and continuously improve our enterprise AI security posture across all major cloud providers (AWS, Microsoft Azure, Google Cloud Platform, Oracle Cloud Infrastructure) and on-prem/edge environments. This role will own the AI risk framework, perform security architecture reviews for agentic AI systems, and lead the secure design, deployment, and lifecycle management of AI agents (including MCP, ACP, and A2A patterns). The ideal candidate blends deep security engineering experience with modern AI/ML and MLOps/LLMOps knowledge, delivering secure-by-design solutions that are compliant, resilient, and business-aligned.
Key Responsibilities
- Strategy & Governance
- Define and operationalize the AI Security Strategy covering models (foundation, open-source, fine-tuned), data pipelines, orchestration layers, agents, and integrations across AWS, Azure, GCP, and OCI.
- Establish and maintain an AI Risk Framework (e.g., NIST AI RMF, ISO/IEC 23894), mapping to enterprise risk taxonomy, control objectives, and regulatory requirements (e.g., SOC 2, ISO 27001, NIST 800-53, CSA CCM).
- Create AI security policies and standards (prompt safety, model access control, agent permissions, data retention, evaluation criteria, provenance & watermarking) and drive adoption across product and platform teams.
- Lead AI Security Governance forums with Legal, Compliance, Privacy, Risk, and Data teams; champion secure-by-design and privacy-by-design principles.
- Architecture & Engineering
- Perform Security Architecture Reviews for AI systems covering hosted and self-hosted models, agents, and pipelines.
- Develop and maintain security reference architectures for multi-cloud AI workloads, including identity & access, network segmentation, data security, and model security.
- Design and implement agent safety controls and build secure AI agents and integrations.
- Embed LLMOps/MLOps security in CI/CD processes.
- Implement continuous evaluation and guardrails.
- Map AI controls to regulatory frameworks.
- Stakeholder Enablement
- Partner with Cloud Architecture, Data Science, and Cloud Platform teams to deliver secure AI features.
- Educate and enable engineering teams on secure coding guidelines and threat modeling.
- Communicate risk and value trade-offs to executives.
Required Qualifications
- 10+ years in Information Security with 4+ years in cloud security and 2+ years in AI/ML or LLMOps security.
- Hands-on multi-cloud expertise across AWS, Azure, GCP, and OCI.
- Security engineering proficiency in Zero Trust, policy-as-code, secrets management, and container security.
- AI/LLM stack knowledge and experience with threat modeling and offensive testing for AI systems.
- Strong understanding of privacy and compliance impacting AI.
Preferred Qualifications
- Experience deploying agentic AI in production with secure toolchains.
- Familiarity with confidential computing and privacy-preserving ML.
- Experience with model risk management and AI explainability.
- Background in financial services or other highly regulated industries.
- Expertise with data governance and security posture management for AI workloads.
Certifications (Nice to Have)
- CISSP, CCSP, and other relevant certifications.
- Machine Learning / AI certifications.
Compensation/Benefits Information
S&P Global states that the anticipated base salary range for this position is $166,000 – $213,000. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan.
What’s In It For You?
Our Mission: Advancing Essential Intelligence. Our People: We’re more than 35,000 strong worldwide—so we’re able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized.
- Continuous Learning: Access to resources to grow your career.
- Invest in Your Future: Competitive pay and retirement planning.
- Family Friendly Perks: Best-in-class benefits for families.
- Beyond the Basics: Retail discounts and referral incentive awards.
Global Hiring And Opportunity At S&P Global
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to any status protected by law.
GenAI Cloud Security Chief Architect employer: S&P Global
Contact Detail:
S&P Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Cloud Security Chief Architect
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to AI and cloud security. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving AI security. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by researching common questions in AI security roles. Practice articulating your thoughts on risk frameworks and security architecture reviews. Confidence is key, so rehearse until you feel ready to impress!
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace GenAI Cloud Security Chief Architect
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with cloud security and AI systems. We want to see how your skills align with the role of GenAI Cloud Security Chief Architect, so don’t hold back!
Showcase Your Expertise: Don’t just list your qualifications; explain how your hands-on experience with AWS, Azure, GCP, and OCI makes you the perfect fit for this role. We love seeing real-world examples that demonstrate your knowledge in action.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. Remember, clarity is key!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at S&P Global
✨Know Your Cloud Security Inside Out
Make sure you brush up on your knowledge of cloud security across AWS, Azure, GCP, and OCI. Be ready to discuss specific tools and frameworks like IAM, KMS, and the NIST AI RMF. Showing that you can navigate these platforms confidently will impress the interviewers.
✨Demonstrate Your AI/ML Expertise
Prepare to talk about your experience with AI/ML security, especially in relation to agentic AI systems. Bring examples of how you've implemented secure design principles or managed risks in AI deployments. This will highlight your hands-on experience and understanding of the field.
✨Showcase Your Strategic Thinking
Be ready to discuss how you would define and operationalise an AI Security Strategy. Think about how you would create policies and standards for AI security and how you would lead governance forums. This shows that you’re not just technically savvy but also a strategic thinker.
✨Prepare Questions That Matter
Have insightful questions ready for your interviewers about their current AI security challenges or future initiatives. This demonstrates your genuine interest in the role and helps you assess if the company aligns with your career goals.
