Key job responsibilities
Architect and deliver the AI-native SDLC framework — defining how existing services transform and new services are built AI-native from inception
Design cross-cutting AI governance architecture enabling governed, auditable agent-to-service interactions at enterprise scale
Lead email security re-architecture from legacy to AI-native threat detection at billion-message scale
Build reusable AI primitives and reference implementations that compound across 50+ services
Design vendor reliability patterns (predictive health, circuit breakers, auto-adaptation) and the technical framework for transforming third-party services
Lead cross-pillar design reviews, raising the architectural bar across multiple engineering teams
Mentor senior engineers toward AI-native proficiency, growing organizational capacity independently
Represent the Dublin engineering hub in organization-wide technical decisions
About the team
Enterprise Productivity owns 50+ services powering how over a million employees create, communicate, collaborate, and operate every day. Our portfolio spans messaging and collaboration platforms, meeting and voice infrastructure, email security protecting billions of messages annually, content management hosting billions of documents, SaaS governance, and AI governance infrastructure enabling safe agent-to-service interactions at enterprise scale. We are transforming into an AI-first product team — our vision: "You make the decisions. Our tools do the rest." Our Dublin engineering hub is central to this transformation, with teams here owning critical services across the full portfolio.
Software development experience with architecting and delivering large-scale distributed systems serving millions of users
Experience leading technical strategy and driving architectural decisions across multiple engineering teams without direct authority
Experience designing and implementing AI/ML-powered systems, automation frameworks, or intelligent operational tooling in production environments
Experience defining and driving adoption of software development methodologies, frameworks, or platform capabilities across an engineering organization
Experience transforming software development lifecycles to incorporate AI-native practices (spec-driven development, AI-assisted code generation, automated testing from specifications, intelligent CI/CD)
Experience building autonomous operations capabilities including self-healing systems, predictive maintenance, or AI-powered incident response
Experience with AI agent orchestration, MCP integrations, or LLM-powered automation at enterprise scale
Experience operating across diverse technology portfolios spanning both first-party services and third-party SaaS platform integrations
Track record of establishing technical communities of practice, mentoring senior engineers, and raising the engineering bar across organizations
Experience working in or with enterprise productivity, collaboration, or communication platforms at scale
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
