At a Glance
- Tasks: Secure cloud platforms and AI solutions while designing innovative security frameworks.
- Company: Join LexisNexis, a leader in patent intelligence and innovation.
- Benefits: Enjoy flexible hours, generous holidays, and extensive learning resources.
- Other info: Be part of a collaborative culture that values well-being and career growth.
- Why this job: Make a real impact in cloud and AI security with cutting-edge technology.
- Qualifications: Experience in cloud security and machine learning engineering is essential.
Enthusiastic about securing cloud platforms and AI-driven solutions in a rapidly evolving technology landscape? Do you enjoy designing security frameworks, enabling secure development practices, and partnering with engineering teams to build resilient, scalable, and compliant cloud and AI environments?
About the team:
LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.
Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics.
About the role:
We are seeking a Senior Cloud & AI Security Enablement Engineer to provide hands-on cloud security engineering capability while also enabling the secure and effective use of AI across Information Security and product engineering teams. This role sits between Security Architecture, BISO/Application Security, Cloud/Platform Engineering, and GRC. It is designed to reduce manual workload on Security Architecture and BISO/Application Security by turning recurring security requirements into reusable cloud guardrails, automated controls, AI-assisted workflows, secure design patterns, and developer-facing enablement materials. The successful candidate will be a practical builder and security partner who can operate cloud security controls, support secure AI adoption, and use AI to improve the speed and consistency of security delivery.
Key Responsibilities:
- Cloud Security Engineering
- Build and maintain reusable cloud security guardrails for identity, logging, encryption, network segmentation, secrets management, storage, workloads, containers, serverless services, and data protection.
- Translate security architecture standards into deployable cloud patterns, reference implementations, templates, and engineering-ready requirements.
- Partner with cloud, platform, DevOps, and product engineering teams to embed security controls into cloud landing zones, CI/CD pipelines, infrastructure-as-code workflows, and operational processes.
- Support the implementation and tuning of CSPM, CNAPP, cloud workload protection, IaC scanning, secrets scanning, and related cloud security tooling.
- Develop policy-as-code and control-as-code mechanisms to prevent, detect, and report common cloud misconfigurations.
- Support cloud-native vulnerability and misconfiguration remediation by providing prioritization logic, remediation guidance, and reusable fix patterns.
- Establish cloud security metrics and dashboards covering control adoption, misconfiguration trends, remediation progress, recurring issues, and exception patterns.
- AI Security Enablement
- Design and maintain AI-assisted workflows for security intake triage, threat model drafting, architecture review summaries, control mapping, remediation guidance, and risk statement generation.
- Build prompt libraries, review rubrics, validation steps, and human-in-the-loop processes for approved AI use within Information Security.
- Identify repetitive BISO, AppSec, and Security Architecture tasks that can be safely accelerated through AI-assisted processes.
- Partner with GRC, Legal, Privacy, and security leadership to ensure AI-assisted security workflows are auditable, explainable, and aligned with internal risk expectations.
- Measure the effectiveness of AI-assisted workflows, including time saved, consistency improvements, review quality, and reduction in repeat manual work.
- Secure AI Application and Cloud-AI Guardrails
- Define secure design patterns for AI-enabled applications, including LLM-based features, retrieval-augmented generation, AI agents, AI APIs, copilots, and automation workflows.
- Establish cloud security requirements for AI workloads, including identity, secrets, data storage, network access, observability, workload isolation, and third-party AI service integrations in partnership with Sec Architecture & AppSec.
- Support AI application threat modelling and risk reviews in partnership with BISO/AppSec.
- Create developer-facing guidance for safe use of AI coding assistants, AI APIs, data ingestion, vector stores, model outputs, and AI-generated code in partnership with BISO/AppSec.
- Security Enablement and Workload Reduction
- Convert recurring BISO/AppSec and Security Architecture questions into reusable guidance, decision trees, approved patterns, checklists, and self-service workflows.
- Build lightweight intake and routing mechanisms that help determine when a request needs BISO review, AppSec review, architecture review, GRC input, or engineering remediation.
- Create and maintain a library of approved cloud and AI security patterns that product and engineering teams can reuse.
- Help reduce one-off security consultations by embedding approved security decisions into tooling, templates, and standard delivery workflows.
Requirements:
Essential - Experience in machine learning engineering. Strong experience in cloud security engineering, application security, security architecture, DevSecOps, or security automation. Hands-on experience with at least one major cloud platform such as AWS or Azure. Practical knowledge of IAM, logging, encryption, secrets management, network security, storage security, vulnerability management, and secure CI/CD. Experience with infrastructure-as-code and cloud security tooling such as CSPM, CNAPP, IaC scanning, SAST, SCA, secrets scanning, or policy-as-code. Ability to translate security standards and architecture requirements into practical implementation patterns. Familiarity with generative AI, LLM-enabled applications, AI-assisted development, or AI security risks. Strong scripting, automation, workflow design, or tooling integration experience. Excellent written and verbal communication skills, with the ability to create clear security guidance for engineering teams.
Desirable - Experience building cloud security guardrails, landing zone controls, reusable modules, or automated remediation workflows. Experience supporting regulated environments or environments with strict customer, contractual, or compliance obligations. Familiarity with AI security frameworks and guidance such as the NIST AI Risk Management Framework, NIST Generative AI Profile, OWASP Top 10 for LLM Applications, or Cloud Security Alliance AI security guidance. Experience with RAG architecture, AI agents, vector databases, AI APIs, prompt engineering, or AI application threat modelling. Experience building security knowledge assistants, prompt libraries, AI-assisted review workflows, or security automation.
Why Join Us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days.
- Life assurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Optional Dental Insurance
- Maternity, paternity, and shared parental leave
- Employee Assistance Programme
- Access to employee resource groups with dedicated time to volunteer.
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
About the business:
LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.
Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Senior Cloud & AI Security Enablement Engineer employer: RELX
RELX is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee wellbeing, generous benefits, and opportunities for professional growth, you will be empowered to influence strategic decisions across multiple business segments while enjoying a healthy work/life balance. Join us to be part of a forward-thinking team that values your contributions and fosters a culture of shared success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud & AI Security Enablement Engineer
✨Get Involved in the Cybersecurity Community
Diving into the cybersecurity community is key for landing that full-time gig. Join forums like Reddit's r/cybersecurity or attend local meetups to connect with industry veterans and other job seekers. Networking is everything in this field—don’t just be a passive lurker!
✨Show Off Your Skills with Capture the Flag Competitions
Participate in Capture the Flag (CTF) competitions; these are not just a fun way to boost your skills but also a chance to showcase your talent to potential employers. Many companies, including RELX, love seeing candidates who actively engage in these challenges.
✨Tailor Your Online Presence
Make sure your LinkedIn and any professional profiles reflect your cybersecurity expertise. Share your projects, whether they’re personal or from a previous role, to catch the eye of hiring managers. This is how they’ll find your passion and commitment to the field!
✨Apply Directly Through RELX
Don’t forget to head straight to our website and check out any openings for cybersecurity roles at RELX. Applying directly can sometimes give you an edge, especially if you can mention that you've been following our work or engaging in the community.
We think you need these skills to ace Senior Cloud & AI Security Enablement Engineer
Some tips for your application 🫡
Show off your technical skills:In cybersecurity, it's crucial to highlight your technical prowess. Make sure your CV showcases specific skills like network security, penetration testing, or threat analysis. If you have relevant certifications (like CEH or CISSP), pop those on the front page to grab attention!
Tailor your portfolio for the role:Even for a full-time role, a portfolio can set you apart. If you've worked on any cybersecurity projects—be it CTF challenges, security assessments, or research papers—include these in your application. This demonstrates not just your skills, but also your hands-on experience!
Use real-world examples:When writing your cover letter, don’t just stick to your qualifications. Share real-world examples of how you’ve tackled security issues or vulnerabilities. This gives the hiring team at RELX insight into your practical problem-solving abilities and makes your application memorable.
Demonstrate your passion for cybersecurity:Cybersecurity is an ever-evolving field, so show us that you’re always learning! Mention any recent courses, webinars, or industry events you’ve attended. This not only exhibits your enthusiasm but also signals to RELX that you’re committed to staying ahead in the game.
How to prepare for a job interview at RELX
✨Sharpen Your Technical Skills
For a role in cybersecurity, it’s essential to be up-to-date with the latest tools and techniques. Brush up on your knowledge of firewalls, intrusion detection systems, and vulnerability assessment tools. Be ready to discuss specific scenarios where you’ve applied these skills, as hands-on experience can really set us apart in interviews.
✨Prepare for Scenario-Based Questions
Expect the interviewers at RELX to throw in some hypothetical situations to see how you’d handle them. Think about common security breaches or incidents and be prepared to explain how you would respond. This not only shows your problem-solving skills but also your understanding of real-world cybersecurity challenges.
✨Highlight Your Certifications
Certifications like CompTIA Security+, CISSP, or CEH can give you a significant edge in a full-time role in cybersecurity. Make sure to mention these during your interview and be prepared to discuss what you learned through those certifications and how they relate to the position at RELX.
✨Show Your Passion for Cybersecurity
Since you’re going for a full-time gig, showing genuine enthusiasm for the field can make all the difference. Share any personal projects, blogs, or communities you’re part of that relate to cybersecurity. This not only showcases your passion but also your commitment to staying engaged in this ever-evolving field.
