Amazon
Sr. Security Solutions Architect, AI-Applied Guidance, Well-Architected Solutions Innovation
$154K–$208K
Bellevue, WA +2 · Senior · Full-time · Posted Sep 17, 2026
- Location
- Bellevue, WA
Irvine, CA
Dallas, TX - Experience
- 7+ years in solutions architecture, security architecture, or a senior technical role; 3+ years of hands-on cloud, application, or infrastructure security experience.
- Education
- Bachelor's degree in computer science, engineering, mathematics or equivalent.
About the job
Leads the strategy for security-focused architectural guidance and best practices that help customers design secure, Well-Architected AI workloads on AWS.
What you'll do
- Define AI security guidance, standards, guardrails, and repeatable review mechanisms across the AI lifecycle.
- Partner with AWS service teams and enterprise customers to validate security recommendations and influence product direction.
- Develop and share guidance through automation, prototypes, reference architectures, publications, and presentations.
What they ask for
- 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 ML lifecycle security, security domains, and AWS security and AI/ML services.
Nice to have
- Expertise securing Generative AI and Agentic AI architectures.
- Experience with AWS Well-Architected Guidance, security publications or presentations, Infrastructure as Code, or secure ML pipelines.
Pay
USD 153,600.00 - 207,800.00 annually (base salary); USD 153,600.00 - 207,800.00 annually (base salary); USD 153,600.00 - 207,800.00 annually (base salary)
Tools
AWS, IAM, KMS, GuardDuty, Security Hub, Bedrock, SageMaker, Terraform
AI focus
Security architecture and guidance for Machine Learning, Generative AI, and Agentic AI workloads, including foundation models, RAG, fine-tuning, and multi-agent orchestration; use of Generative AI-assisted authoring.
Model-written summary · the original posting is authoritative