Senior AI Security Architect

Amazon; Irvine (CA); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services (AWS) seeks a Senior Security Solutions Architect to own strategic AI security guidance across ML lifecycles and AI workloads. You will shape the security pillar of Well-Architected AI, influence AWS service roadmaps, and engage directly with strategic customers to translate security patterns into scalable practices.

You will lead by example through prototyping, threat modeling, and publishing reference architectures while mentoring architects and contributing to

Qualifications

• Bachelor's degree in computer science, engineering, mathematics or equivalent.
• 7+ years of experience in solutions architecture, security architecture, or a senior technical role with increasing scope and impact.
• 3+ years of hands-on experience in cloud security, application security, or infrastructure security.
• Deep understanding of the end-to-end ML lifecycle from a security perspective: secure data preparation, model integrity, supply chain security, deployment hardening, monitoring, and governance.
• Demonstrated expertise in security domains: identity and access management, encryption, network security, threat modeling, vulnerability management, and compliance.
• Demonstrated ability to influence technical direction across organizational boundaries without direct authority.
• Experience with AWS security and AI/ML services (IAM, KMS, GuardDuty, Security Hub, Bedrock, SageMaker, etc.)

Responsibilities

• Set Strategic Technical Direction for AI Security: Define and own the long-term vision and roadmap for AI/ML security architectural guidance aligned to the AWS Well-Architected Guidance pillars with deep focus on the Security pillar - including identity, access control, data protection, data residency and sovereignty, threat detection, and incident response for AI workloads.
• Provide guidance on security considerations for foundation models, RAG pipelines, fine-tuning, multi-agent orchestration, and responsible AI practices. Drive consensus on complex ambiguous security decisions in AI systems.
• Raise the Bar Across the Organization: Establish security standards review mechanisms and architectural guardrails that elevate the entire guidance portfolio. Define what "great" looks like for AI security guidance and hold the team accountable.
• Influence Service Roadmaps: Partner with Stakeholders and Engineers across AWS service teams (Amazon Bedrock, SageMaker, Q, AWS Security services, etc.) to represent the customer voice on AI security validate architectural recommendations and influence product direction based on security patterns observed in production AI workloads.
• Executive Customer Engagement: Engage directly with strategic enterprise customers to validate security guidance through real-world implementations identify emerging AI security challenges and translate insights into scalable best practices.
• Drive Innovation in Content Delivery: Own the strategy for automation tooling and pipelines (including Generative AI-assisted authoring) that accelerate the creation review and publication of AI security guidance at scale. Define mechanisms that ensure guidance remains current as the AI threat landscape evolves rapidly.
• External Thought Leadership: Publish whitepapers blog posts and reference architectures; present at AWS events (re:Invent, Summits, webinars) and industry security conferences to establish AWS as a leading authority on securing Well-Architected AI workloads.
• Mentorship & Organizational Impact: Mentor senior architects on AI security best practices drive hiring bar-raising and build a community of practice that scales AI security architectural expertise across the organization. Contribute to organizational strategy and workforce planning.
• Mechanisms & Operational Excellence: Design and implement repeatable mechanisms (e.g., security review processes, threat modeling for AI workloads, guidance lifecycle management, feedback loops) that ensure sustained quality and relevance at scale.
• Hands-On Technical Validation: Validate security architectural recommendations through prototyping proof-of-concept implementations threat modeling exercises and code samples that demonstrate secure AI patterns.

Skills

Security architecture

AI security

Cloud security

Education

Bachelor's degree in computer science/engineering/mathematics or equivalent

AWS certifications (SA Professional, Security, Generative AI)

Tools

AWS security services

Job description

Amazon Web Services (AWS) seeks a Senior Security Solutions Architect to own strategic AI security guidance across ML lifecycles and AI workloads. You will shape the security pillar of Well-Architected AI, influence AWS service roadmaps, and engage directly with strategic customers to translate security patterns into scalable practices.

You will lead by example through prototyping, threat modeling, and publishing reference architectures while mentoring architects and contributing to