Key job responsibilities
Take validated Secure AI approaches (agentic-AI identity patterns, AI security frameworks, AI development lifecycle controls, guardrail and governance-evidence patterns) and build them into clean, deployable reference implementations — working code, not slideware.
Test each pattern against real customer requirements to confirm it holds, then package it into the published library that the field draws on.
Write the code, reference architectures, and documentation to a standard that a Solutions Architect or partner in any APJC area can adopt without specialist presence.
Work with the AWS service teams (Bedrock, AgentCore, SageMaker) — bringing field requirements and customer data into the product conversation and taking away clarity to turn into guidance.
Stay current on the AWS AI and security product set, translating new and upcoming capability into field-ready reference implementations as it lands.
Surface customer needs and gaps as feature requests, contributing to the feedback loop that shapes what ships next.
A day in the life
You start the morning building out an agentic-identity reference implementation that two areas have asked for. A customer engagement last week surfaced a gap around cross-account tool-use authorisation; you build the fix, test it, and update the library entry so every area gets the improved version.
Mid-morning you join a session with the AgentCore service team. You bring the field data — what APJC customers are hitting on non-human identity — and take away clarity on what can ship as guidance now versus what needs a product change. You'll turn that into an updated reference architecture this week.
After lunch you go heads-down and build — hands on keyboard — turning an AI development lifecycle control you prototyped into a documented reference implementation with code, deployment steps, and a short workshop a field Solutions Architect could run themselves.
You close the day handing the finished pattern to the go-to-market team to fold into the next immersion-day curriculum, publishing the write-up to the field, and briefing the Associate SA on what's ready to be packaged into next week's community event. No two days look the same, but the thread is consistent: you build it once, and the whole region gets to build on it.
About the team
APJC Customer Security helps customers across the region adopt AI on AWS with confidence — ensuring security, risk, and regulation accelerate AI adoption rather than slow it down. We run two coupled programmes: Secure AI (making AWS the best place to build securely with AI) and AI for Security (using AI to help customers defend themselves). As one of two Solution Architects, you build the reusable technical foundation both programmes scale on. You work with the AWS service teams who build the products and the field teams who take guidance to customers. You will have a clear development path, a peer community of specialists, and see your work reused across the entire region.
4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
2+ 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
Experience working within software development or Internet-related industries
Experience migrating or transforming legacy customer solutions to the cloud
Experience working with AWS technologies from a dev/ops perspective
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