AI Security Architect: Secure ML Workloads on AWS

Amazon Web Services (AWS); Dallas (TX); On-site; USD 154,000 - 208,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Web Services, Inc. is seeking a Senior Security Solutions Architect to own the strategic vision for AI security guidance across AWS AI workloads.

You will drive Well-Architected outcomes with a deep focus on Security, influence internal teams and the builder community, and translate complex patterns into actionable best practices. You will engage with strategic customers, shape security reference architectures, and contribute to roadmaps and tooling that accelerate secure AI deployments

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 7+ years in solutions or security architecture.
• 3+ years in cloud security and AI security.
• Deep understanding of ML lifecycle from a security perspective.
• Experience with IAM, encryption, network security and compliance.
• Ability to influence direction across org without direct authority.

Responsibilities

• Define and own the long-term vision and roadmap for AI/ML security architecture guided by Well-Architected pillars.
• Set security standards, guardrails, and mechanisms for AI guidance portfolio.
• Influence AWS service roadmaps with security patterns observed in production workloads.
• Engage with strategic enterprise customers to validate guidance and drive adoption.
• Prototype, threat model, and validate secure AI patterns.

Skills

AI security

Cloud security

Solutions architecture

Generative AI

Agentic AI

Threat modeling

Education

Bachelor's degree in computer science or related field

Tools

AWS SageMaker

Amazon Bedrock

IAM

KMS

Security Hub

CloudTrail

Job description

Amazon Web Services, Inc. is seeking a Senior Security Solutions Architect to own the strategic vision for AI security guidance across AWS AI workloads.

You will drive Well-Architected outcomes with a deep focus on Security, influence internal teams and the builder community, and translate complex patterns into actionable best practices. You will engage with strategic customers, shape security reference architectures, and contribute to roadmaps and tooling that accelerate secure AI deployments