Key job responsibilities
Organise and run the channels that build Secure AI skills at scale — webinars, community events, enablement series, and builder circles — owning end-to-end coordination across multiple areas and time zones.
Package reference patterns and frameworks into field-ready enablement — briefings, guides, and workshop kits — that a Solutions Architect or partner can pick up and use without a specialist in the room.
Grow a community of practice around Secure AI, keeping content current and accessible so skills build consistently across the field and customers.
Track reach, engagement, and field adoption of the content and events you run, and share what you learn so the next round is sharper.
Get hands-on keyboard time building and testing prototypes and reference implementations in sandbox environments — learning the AWS AI and security services and modern development tooling as you go.
Take well-scoped, straightforward pieces of technical work through to done with guidance — learning the Secure AI control patterns (agent identity, prompt-injection defense, AI development lifecycle controls, guardrails, governance evidence) as you contribute to them.
Grow your technical depth and judgment over time, building toward owning harder problems independently.
A day in the life
You start the morning in a sandbox, helping build out and test part of an agentic-identity reference pattern. You pick up a well-scoped piece — wiring up and validating one of the guardrail configurations — and take it to done, learning how the whole pattern fits together as you go.
Mid-morning you switch to the scale side of the role: you are running a webinar next week that brings a new pattern to the field, so you finalise the run-sheet, line up the presenter, and send the invites across the areas. You also tidy a workshop kit so any field Solutions Architect can deliver the session themselves.
After lunch you turn a reference architecture that was just published into a crisp enablement guide and a short briefing a Solutions Architect can take straight into a customer conversation. You check in with a builder-circle community you help run and clear a couple of small blockers for the organisers.
You close the day looking at how the last community event landed — who joined, what resonated, which content got reused — and share a short read-out with the team. No two days look the same, but the thread is consistent: you are learning to build, and making sure what the team builds reaches everyone
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 an Associate Secure AI Solution Architect, you own the enablement and community engine that helps the whole programme scale. You will have a clear development path, a peer community to learn from, and the chance to build a deep technical foundation in one of the most important areas in the industry.
Experience with one of the following programming languages: Python, Ruby, Node.js, C#, or C++
Experience with two or more of the following: networking fundamentals, security, storage or databases (relational or NoSQL), operating systems (Unix, Linux, or Windows)
Experience implementing a cloud-based technology solution
Experience in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps
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