Senior AI Security Architect

Amazon; Bellevue (WA); On-site; USD 154,000 - 208,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) is seeking a Senior Security Solutions Architect to own and drive the security strategy for AI workloads across AWS services. You will shape the long-term architectural guidance ensuring secure, well-architected AI deployments and influence product directions with security-first thinking.

Lead cross-team collaboration, mentor peers, and publish reference architectures while engaging strategic customers to translate insights into scalable best practices for secure AI

Qualifications

• 7+ years of solutions architecture/security architecture experience.
• Deep expertise in AI security and ML lifecycle from a security perspective.
• Experience with AWS security and AI/ML services (IAM, KMS, GuardDuty, Security Hub, Bedrock, SageMaker).

Responsibilities

• Define long-term AI/ML security guidance and architecture roadmap.
• Influence service roadmaps and security guidance across AWS teams.
• Engage with strategic customers to validate and inform best practices.
• Publish whitepapers and present at AWS events to establish security leadership.

Skills

AI security

Security architecture

Threat modeling

Identity and access management

Encryption

Network security

Cloud security

Education

Bachelor's degree in CS/Engineering/Math or equivalent

Tools

AWS security services

Infrastructure as Code (CDK/CFN/TF)

ML/AI security tooling

Job description

Amazon Web Services (AWS) is seeking a Senior Security Solutions Architect to own and drive the security strategy for AI workloads across AWS services. You will shape the long-term architectural guidance ensuring secure, well-architected AI deployments and influence product directions with security-first thinking.

Lead cross-team collaboration, mentor peers, and publish reference architectures while engaging strategic customers to translate insights into scalable best practices for secure AI