At a Glance
- Tasks: Design and secure AI systems while collaborating with top engineering teams.
- Company: Join a leading tech firm focused on AI security and innovation.
- Benefits: Enjoy competitive pay, flexible time off, and continuous learning opportunities.
- Other info: Dynamic work environment with excellent career growth potential.
- Why this job: Make a real impact in the fast-evolving field of AI security.
- Qualifications: Experience in DevSecOps and a passion for AI technologies required.
The predicted salary is between 100000 - 130000 £ per year.
Key Responsibilities
- Design, deploy, and operate enterprise artifact repository platforms supporting cloud and hybrid environments.
- Define and enforce package curation, promotion, and trust models aligned with application security and compliance requirements.
- Implement and govern waiver and approval workflows for dependency and artifact usage, ensuring risk‑based decision‑making.
- Partner with AppSec, platform, and engineering teams to standardize secure dependency and artifact consumption patterns.
- Define and maintain repository architectures supporting multiple environments, teams, and trust boundaries.
- Enforce policies ensuring artifact immutability, provenance, versioning, and trusted sourcing.
- Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps.
- Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows.
- Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data protection, and model access controls.
- Implement safeguards against AI‑specific threats, including prompt injection, model poisoning, data leakage, and insecure model outputs.
- Integrate AI security scanning and validation into build pipelines, ensuring safe model usage and dependency integrity.
- Collaborate with engineering teams to establish secure‑by‑design AI application architectures.
- Ensure compliance with enterprise Responsible AI policies (data privacy, bias management, model governance).
- Secure AI‑related secrets, tokens, and API access used in pipelines and applications.
- Monitor and respond to security risks introduced by AI/ML components, including third‑party models and APIs.
- Contribute to AI risk governance, auditability, and traceability across the SDLC.
- Stay current on emerging AI security threats, vulnerabilities, and regulatory expectations.
- Align artifact and dependency controls with cloud security best practices for deployed applications.
- Monitor usage, risk posture, and effectiveness of artifact controls and drive continuous improvement.
- Develop automation and policy‑as‑code for artifact lifecycle management, approvals, and governance.
- Support security incident investigations related to software supply chain integrity or dependency risk.
- Create documentation, standards, and enablement materials for secure developer adoption.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Cybersecurity, or equivalent experience.
- 3–6 years of experience in DevSecOps, platform security, or software supply chain security.
- Strong hands‑on experience with JFrog Artifactory, including deployment and enterprise architecture.
- Experience designing package curation and promotion models.
- Foundational understanding of AI/ML and Generative AI concepts, including LLMs and model lifecycle.
- Knowledge of AI/ML security risks such as prompt injection, data poisoning, model evasion, and data leakage.
- Experience integrating AI or ML components into applications or pipelines (preferred hands‑on exposure).
- Familiarity with Responsible AI principles and AI governance frameworks.
- Experience implementing waiver and approval workflows for dependencies and artifacts.
- Strong understanding of application security principles and dependency risk management.
- Hands‑on experience integrating repositories with GitHub, Jenkins, and Azure DevOps pipelines.
- Experience working in cloud environments (Azure preferred; AWS/GCP acceptable).
- Proficiency with automation and scripting (Python, Groovy, Terraform, etc.).
- Knowledge of modern SDLC and DevSecOps operating models.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
DevSecOps Architect — AI Security & Supply Chain in London employer: S&P Global
S&P Global is an exceptional employer that prioritises employee well-being and professional growth, offering a dynamic work culture in Princeton, New Jersey. With competitive compensation, generous time off, and a commitment to continuous learning, employees are empowered to thrive both personally and professionally. The company also provides unique family-friendly perks and a supportive environment for innovation in AI security, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land DevSecOps Architect — AI Security & Supply Chain in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that DevSecOps Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI security and CI/CD pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common DevSecOps scenarios and challenges. Be ready to discuss how you've tackled security risks in past projects, especially with AI/ML components.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace DevSecOps Architect — AI Security & Supply Chain in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with DevSecOps and AI security. We want to see how your skills align with the key responsibilities listed in the job description.
Showcase Your Technical Skills:Don’t hold back on showcasing your hands-on experience with tools like JFrog Artifactory, GitHub, Jenkins, and Azure DevOps. We love seeing practical examples of how you've integrated these into your workflows.
Highlight Collaboration Experience:Since this role involves partnering with various teams, share examples of how you've successfully collaborated with AppSec, engineering, or platform teams in the past. We value teamwork and communication!
Apply Through Our Website:Remember to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at S&P Global
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like JFrog Artifactory, GitHub, Jenkins, and Azure DevOps. Brush up on your knowledge of AI/ML concepts and security risks, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles related to DevSecOps or software supply chain security. Think about how you implemented solutions for issues like dependency risk management or secure CI/CD pipelines, and be ready to share those experiences.
✨Understand the Company’s Values
Research S&P Global's approach to Responsible AI and their commitment to security and compliance. Being able to align your answers with their values will show that you’re not just a fit for the role, but also for the company culture.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current challenges in AI security or how they envision the future of DevSecOps within their organisation. This shows you’re engaged and thinking critically about the position.
