포지션 상세
Amazon Web Services (AWS) is seeking a Senior Secure AI Solution Architect to join our APJC Customer Security team. This is a builder's role. Customers across the region are moving fast on AI and seeking guidance on challenges they have not faced before — how to give autonomous agents an identity, how to defend against prompt injection, how to govern the AI development lifecycle, and how to produce the governance evidence a regulator will trust.
• Implement directly to unblock decisions: stand up agentic-identity, prompt-injection-defence, AI development lifecycle, guardrail, and audit/evidence patterns that validate what conversations alone cannot.
• Stay engaged through implementation so the design holds against reality; exercise judgment on when to revise the approach based on what you learn.
• Partner with the Bedrock, AgentCore, and SageMaker service teams — you are the voice of APJC field security requirements that shapes what ships, and the voice of the product that shapes what the field advises.
• Feed customer voices back through feature requests and direct engagement, staying current with a threat and regulatory landscape that moves in hours.
• Translate service-team roadmap into field-ready guidance, ensuring it gets packaged at scale.
• Produce original technical content — reference architectures, working code, patterns, blog posts, and workshops — that peers and customers adopt, turning a single customer win into reusable regional IP.
• Mentor and develop others — area-based Solutions Architects and the wider field community — raising the Secure AI technical bar across the region and growing the next set of specialists.
• Hand proven patterns to the content and enablement team so guidance reaches the field without requiring your presence.
• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• 10+ years of IT development or implementation/consulting in the software or Internet industries experience
주요업무
• Build working prototypes and proofs of concept in customer sandbox environments — using AWS AI services (Bedrock, AgentCore, SageMaker), AI-augmented development tooling, and IaC (CDK, Terraform) — that prove a Secure AI control works against the customer's data and risk model, in days rather than quarters.• Implement directly to unblock decisions: stand up agentic-identity, prompt-injection-defence, AI development lifecycle, guardrail, and audit/evidence patterns that validate what conversations alone cannot.
• Stay engaged through implementation so the design holds against reality; exercise judgment on when to revise the approach based on what you learn.
• Partner with the Bedrock, AgentCore, and SageMaker service teams — you are the voice of APJC field security requirements that shapes what ships, and the voice of the product that shapes what the field advises.
• Feed customer voices back through feature requests and direct engagement, staying current with a threat and regulatory landscape that moves in hours.
• Translate service-team roadmap into field-ready guidance, ensuring it gets packaged at scale.
• Produce original technical content — reference architectures, working code, patterns, blog posts, and workshops — that peers and customers adopt, turning a single customer win into reusable regional IP.
• Mentor and develop others — area-based Solutions Architects and the wider field community — raising the Secure AI technical bar across the region and growing the next set of specialists.
• Hand proven patterns to the content and enablement team so guidance reaches the field without requiring your presence.
자격요건
• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• 10+ years of IT development or implementation/consulting in the software or Internet industries experience
