Senior AI Security Architect for Agentic Systems

MetLife; Bridgewater (MA); Hybrid; USD 100,000 - 165,000; Full time

Benefits offered by this job

Health plan

Life insurance

401(k) with match

EAP

Job summary

MetLife’s Global Security team is seeking a Sr. AI & Agentic Security Architect to define and secure its AI ecosystem across the enterprise.

You will own threat modeling, guardrails, and security posture for AI systems, working with AI platform engineering, MLOps, DevOps, IAM, and regional teams to embed security from the ground up. In this hybrid, office-based role, you will influence architectural standards, review designs for security risk before production, and drive scalable, compliant AI

Qualifications

• 5-7 years of overall experience.
• Experience designing and implementing enterprise AI security, governance, and risk management programs.
• Hands-on experience implementing AI security controls, AI guardrails, AI application security, and AI asset discovery capabilities.
• Strong knowledge of AI security and risk frameworks such as NIST AI RMF, MITRE ATLAS, OWASP AI guidance, or equivalent industry standards.
• Experience securing AI applications, copilots, LLM-based solutions, agentic systems, or comparable AI technologies in cloud environments.
• Strong cloud and security architecture background with the ability to assess and mitigate AI-related risks.
• Ability to operate independently, influence technical decisions without direct authority, and communicate effectively with both engineering teams and executive stakeholders.

Responsibilities

• Build security controls that govern agent permissions, tool access boundaries, and inter-agent trust — preventing privilege escalation, unauthorized tool invocation, and unintended autonomous actions across agentic workflows.
• Define and operationalize threat models for LLM-based systems covering prompt injection (direct and indirect), insecure output handling, excessive agency, training data poisoning, and model misuse — aligned to OWASP LLM Top 10 and MITRE ATLAS.
• Own the architecture of the enterprise AI SPM capability — providing continuous visibility into the full AI asset inventory including models, agents, MCP servers, orchestrators, and tool registries, as well as risk posture and policy compliance status.
• Lead the technical design and implementation of Shadow AI Discovery capabilities — detecting unsanctioned AI tools, models, services, and agentic deployments across the enterprise through network telemetry, cloud resource scanning, API gateway analysis, and endpoint signals.
• Embed security controls and automated benchmarks into CI/CD pipelines across the AI development lifecycle — covering model training, fine-tuning, agent deployment, and inference stages.
• Serve as the enterprise-wide technical authority on AI and agentic security — setting standards, publishing architectural guidance, and reviewing AI system designs for security risk before production deployment.
• Partner with AI platform engineering, MLOps, DevOps, IAM, and Enterprise Architecture, Security Engineering and Regional teams to embed security into AI development practices from the ground up — without slowing delivery.

Skills

AI security

Governance

Risk management

Threat modeling

Cloud security

Architectural design

Stakeholder communication

Job description

MetLife’s Global Security team is seeking a Sr. AI & Agentic Security Architect to define and secure its AI ecosystem across the enterprise.

You will own threat modeling, guardrails, and security posture for AI systems, working with AI platform engineering, MLOps, DevOps, IAM, and regional teams to embed security from the ground up. In this hybrid, office-based role, you will influence architectural standards, review designs for security risk before production, and drive scalable, compliant AI