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Join Xero's AI Enablement team as a Senior Software Engineer, where you'll build internal platforms and tools that help engineers across the organization work effectively with AI. You'll own projects end-to-end—from early experimentation through production—including runbooks, monitoring, and rollback strategies that ensure reliability at scale.
This role offers significant influence over Xero's AI strategy. You'll shape the technical direction of an internal skills marketplace and AI distribution platform used organization-wide, collaborate directly with vendors like AWS, Microsoft, and GitHub on early-access technology not yet publicly available, and guide a team still early in its AI journey.
The AI Enablement team sits within Engineering Experience and focuses on helping product teams move faster through platforms, tooling, and practical guidance. The team is distributed across Melbourne, Sydney, and the Sunshine Coast, with a product manager in Wellington, staying connected through regular syncs and collaborative working practices despite time zone differences.
You'll initially focus on building an internal skills marketplace and distribution platform for AI tools, developing guidance and best practices for authoring agent skills (including remediation agents), and collaborating with major cloud and DevOps vendors on emerging technology. The current tech stack is C#, .NET, and AWS, with Python and TypeScript used for AI tooling.
The team works hybrid with regular in-person boost days for planning and collaboration. You can be based anywhere in Australia or New Zealand.
QUALIFICATIONS & REQUIREMENTS:
- Hands-on software engineering experience, ideally with C#, .NET, and AWS (though strong engineers from other backgrounds are encouraged to apply)
- Track record building internal tools or platforms that other engineers genuinely relied on
- Production discipline: you write runbooks, set up monitoring, and think through rollback strategies before deployment
- Clear communication skills and ability to bring people along with ideas, not just ship code in isolation
- Curiosity about coding agents and AI-native tools; awareness of where AI engineering is heading
- Ability to challenge decisions directly and respectfully, and to learn new things in a structured, quality-focused way
