AI Security Engineering will serve as a senior individual contributor focused on the design, build, deployment, and continuous improvement of security controls for AI systems across the enterprise.

This is a hands-on engineering role for a technically strong practitioner who can partner across security, cloud, platform, and application teams to secure AI use cases at scale. Core Focus Areas Engineer and operationalize security controls for AI systems, services, and supporting infrastructure\nAccelerate safe adoption of AI capabilities across business and technology teams\nEvaluate, pilot, and implement AI security tooling and control frameworks\nImprove visibility, detection, and risk reduction for enterprise AI usage\nProvide technical guidance and implementation patterns for secure AI deployment Key Responsibilities AI Security Engineering & Platform Controls Engineer and operationalize controls for: Prompt protection and filtering Sensitive data protection in AI workflows Secure model access and service integration Policy enforcement for AI usage and governance requirements Contribute to the design and implementation of reusable AI security capabilities across enterprise environments Help define secure patterns for enterprise AI services, vendors, and internal use cases AI Environment Hardening Secure AI hosting environments, including: Cloud-native platforms Containerized and Kubernetes-based workloads Integrate security controls into: Application and deployment pipelines AI/ML lifecycle workflows Runtime environments Validate configurations, reduce attack surface, and improve control effectiveness Detection, Monitoring & Response Improve technical visibility into: AI system usage and behavior Model misuse, anomalous activity, and data exposure risks Partner with SOC and detection engineering teams to: Develop detections and telemetry use cases Improve monitoring coverage for AI platforms and workflows Reduce manual effort through automation and enrichment Engineering Execution & Innovation\nLead hands-on engineering, prototyping, and implementation activities\nEvaluate emerging AI security tools, patterns, and techniques through proof-of-concept work\nIdentify design and control gaps in AI, cloud-native, and application environments\nDevelop practical solutions that improve security while supporting speed and usability\nCross-Functional Collaboration Partner with: Cloud and platform engineering Application development teams AI/ML engineering teams Security architecture, governance, and risk stakeholders Translate security requirements into implementation guidance, engineering standards, and actionable technical patterns Support adoption by providing practical recommendations and technical enablement Technical Influence\nServe as a senior technical contributor and subject matter resource for AI security engineering\nHelp shape standards, guardrails, and repeatable patterns for secure AI deployment\nStay current with the evolving AI threat landscape, emerging architectures, and control capabilities\nShare technical knowledge and mentor peers informally across the organization Required Qualifications 5+ years of experience in security engineering, cloud security, platform engineering, or a related technical discipline\nExperience delivering enterprise-scale security engineering solutions in complex environments\nDemonstrated success in a senior individual contributor role requiring strong technical ownership and cross-functional collaboration Core Technical Expertise Strong knowledge of cloud security fundamentals, one or more of the following, IAM Network segmentation Encryption Secrets management Logging and monitoring Least privilege and workload isolation Experience with modern application, platform, and infrastructure security practices Working knowledge of AI/ML systems, one or more of the following: Generative AI and LLM-based services Agentic workflows and AI integrations Model access patterns, APIs, and orchestration layers AI-related architectural risks including MCP and A2A interaction patterns AI Security Knowledge Understanding of AI security risks, one or more of the following: Prompt injection Sensitive data exposure Insecure or untrusted output handling Model misuse and excessive privilege Third-party and supply chain risks Familiarity with: OWASP Top 10 for LLM Applications Secure AI engineering practices AI risk and governance concepts Hands-On Engineering Capability Experience in one or more of the following: DevSecOps Platform engineering Infrastructure automation Security engineering for cloud-native applications Working knowledge of: Kubernetes and container security Pods, RBAC, secrets, and network controls Policy enforcement and configuration validation Ability to write or review scripts and automation in support of validation, telemetry, or operational efficiency Data Security Experience helping secure sensitive data in modern application or AI contexts, one or more of the following:\nData classification\nAccess controls\nPrivacy boundaries\nRetention concepts\nDLP-related requirements Mindset Strong curiosity and adaptability in a rapidly evolving technical landscape Practical problem solver with strong engineering judgment Effective communicator able to work across technical and non-technical stakeholders

Preferred Qualifications Experience:

Hardening Kubernetes and cloud-native environments at scale Securing software or container supply chains, including SBOM, signing, or integrity validation Implementing runtime security controls and policy enforcement Familiarity with AI ecosystem components such as: Model pipelines and inference services Vector databases and RAG systems AI gateways, proxy layers, and prompt orchestration frameworks Exposure to: Detection engineering and alert tuning Incident triage in cloud-native or distributed environments Security automation for operational efficiency Certifications (Preferred) CCSP or equivalent cloud security certification Microsoft SC-100 CKA or CKS AI-related certifications (e.g., AI-900 or similar)

Location Expectation:

This is a hybrid role requiring a minimum of 3 days per week in office. The expected salary range for this position is $120,000

$180,000.

This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms. Benefits We Offer Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short

and long-term disability.

We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! About MetLife Recognized on Fortune magazine's list of the \"World's Most Admired Companies\", Fortune World's 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple

to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values
Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead
we're inspired to transform the next century in financial services.

At MetLife, it's [1] #AllTogetherPossible. Join us! MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (\"protected characteristics\"). If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liabilities.

References Visible links https:

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