Security Engineer - Applied AI

Meta Careers; City of Westminster; On-site; GBP 120,000 - 170,000; Full time

Job summary

Meta seeks a Security Engineer for its Applied AI organization in the UK. You will blend security expertise with AI-driven approaches to build defenses, prototype AI-powered protections, and advance security across platforms.

You will lead adversarial research, threat intelligence programs, and scalable detection capabilities, mentoring peers and shaping how security translates into AI tooling for Meta-scale systems.

Qualifications

• 8+ years hands-on security engineering experience.
• Deep attacker tactics, techniques, and procedures knowledge.
• Ability to architect security systems at scale and influence others.

Responsibilities

• Identify and solve ambiguous problems in Security/Trust/Safety domains.
• Architect security systems and capabilities across teams.
• Lead adversarial research, threat intelligence, detection or investigation AI-augmented efforts.
• Shape how security expertise translates into AI capabilities and scalable processes.
• Set and improve quality standards for security practices across teams.
• Drive cross-organizational partnerships and define technical direction.
• Break down problems into scoped workstreams and own the most complex pieces.
• Mentor engineers and role-model security engineering practices.
• Disseminate findings through publications and internal knowledge sharing.

Skills

Security engineering

Adversarial research

Threat intelligence

Python

Rust

Security architecture

Cross-functional leadership

Incident response

Job description

Meta is seeking Security Engineers to join our Applied Artificial Intelligence (AAI) organization. As a Security Engineer in AAI, you will apply deep domain expertise to solve hard, real-world security problems, building novel security capabilities, prototyping AI-powered defenses, and advancing the frontier of what AI systems can do in Security, Trust, and Safety. Your work is AI-augmented from day one: you leverage AI tools and agents to accelerate your impact, and where the models fall short, your expertise directly drives their improvement.You will blend hands-on security engineering with applied research: designing and executing novel approaches to security challenges that push both the state of Meta's security posture and the state of the art in AI-driven security. This includes building security products and tools, conducting original adversary research, developing detection and response capabilities, and translating security expertise into scalable, AI-native systems. Your domain knowledge — whether in detection engineering, threat intelligence and adversarial analysis, cloud security, adversary simulation, mobile and platform security, forensic investigation, or emerging areas like AI/ML security — becomes the foundation for capabilities no existing AI system can replicate.This role is for experienced security practitioners who want to operate at the intersection of deep security expertise and frontier AI — not just using AI as a tool, but shaping what it becomes.Security Engineer - Applied AI Responsibilities:Identify and solve ambiguous problems within a Security, Trust, or Safety domain where the solution and requirements are initially unknown, driving solutions that affect multiple teamsArchitect security systems and capabilities that set the standard across teamsdrive platform-level decisions for AI-driven security solutions at Meta's scaleLead the strategy and methodology for adversarial research, threat intelligence programs, detection systems, or investigation capabilities augmented by AIShape how security expertise translates into AI capability: define the methodologies that make model improvement systematic and scalableSet and improve quality standards for security engineering practices and processes across teamsdefine processes and workflows that achieve scale and automationDrive cross-organizational partnerships that define how security and AI intersect: influence technical direction beyond the immediate teamBreak down problems into smaller, scoped workstreams, owning the most technically complex pieces while enabling others to execute against the overall solutionMentor other engineers across the organization, build a community, and act as a role model for security engineering practices and Meta valuesDrive team-wide adoption of practices and standardsproactively communicate updates to leadership audiencesDisseminate findings through internal publications, knowledge sharing, and contributions to the broader security communityMinimum Qualifications:8+ years of hands-on security engineering experience in one or more domains: detection engineering, threat intelligence, incident response, cloud security, adversary simulation, offensive security, mobile/platform security, digital forensics, trust and safetyDeep expertise in attacker tactics, techniques, and procedures with demonstrated ability to advance the state of the artProficiency in coding with experience in languages such as Python or RustTrack record of architecting security systems or programs that operate at scale and influence how others buildDemonstrated ability to define and drive complex, ambiguous problem spaces with group-level impactExperience in driving alignment and resolution across multiple teams and cross-functional partnersPreferred Qualifications:Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Contributions to the security community (original research, tools, conference presentations, publications)Experience improving AI model performance through expert feedback, red teaming, or evaluation designExperience with cloud security operations, cloud detection and response, or cloud-native defenseExperience in hands on investigations across the Trust & Safety domainExperience with forensic investigation — reconstructing attack timelines from evidence across multiple sourcesDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience in planning and executing adversary simulation campaigns or purple team exercises at scaleExperience leveraging AI tools to accelerate security workflows and enhance operational capabilityExperience in creating structured methodologies that scale security expertise across teamsBackground in supply chain security, mobile platform security, network protocol security, or AI/ML securityAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.