AI Security Engineer

As part of MetLife’s Global Security team, you’ll work alongside world-class experts to protect MetLife, our customers and our colleagues. The team is responsible for managing cybersecurity, IT risks and vulnerabilities, physical security, and more. In this fast-paced, mission-driven environment, you’ll join outstanding teammates to your skills, collaborate across the organization and implement innovative approaches to safeguard MetLife when it matters most. Ready to make an impact? Join us if you want to embrace the rapidly evolving environment and use transformative technology to integrate and build security into the foundation of key initiatives across MetLife.

The Senior Engineer – 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

Accelerate safe adoption of AI capabilities across business and technology teams

Evaluate, pilot, and implement AI security tooling and control frameworks

Improve visibility, detection, and risk reduction for enterprise AI usage

Provide technical guidance and implementation patterns for secure AI deployment

1. 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

2. 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

3. 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

4. Engineering Execution & Innovation

Lead hands-on engineering, prototyping, and implementation activities

Evaluate emerging AI security tools, patterns, and techniques through proof-of-concept work

Identify design and control gaps in AI, cloud-native, and application environments

Develop practical solutions that improve security while supporting speed and usability

5. Cross-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

6. Technical Influence

Serve as a senior technical contributor and subject matter resource for AI security engineering

Help shape standards, guardrails, and repeatable patterns for secure AI deployment

Stay current with the evolving AI threat landscape, emerging architectures, and control capabilities

Share technical knowledge and mentor peers informally across the organization

5+ years of experience in security engineering, cloud security, platform engineering, or a related technical discipline

Experience delivering enterprise-scale security engineering solutions in complex environments

Demonstrated 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:

Data classification

Access controls

Privacy boundaries

Retention concepts

DLP-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

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 #AllTogetherPossible. Join us!

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.