Senior Software Engineer, AI Enablement

Apply; Sydney; Hybrid; AUD 140,000 - 190,000; Full time

Job summary

Xero is seeking a Senior Software Engineer for its AI Enablement team. You will own end-to-end development of internal AI tooling, from experiments to production, including runbooks, monitoring and rollback thinking that keep it reliable for engineers.

You will help shape the technical direction of an internal skills marketplace and AI distribution platform, and you'll work with AWS, Microsoft and GitHub on early-access technology in a hybrid Australia–New Zealand setup.

Qualifications

• Hands-on software engineering experience with C#, .NET and AWS.
• Experience building internal tools or platforms used by engineers.
• Production discipline: runbooks, monitoring and rollback planning.
• Clear communication and ability to bring others along with ideas.
• Curiosity about coding agents and AI-native tooling, with a proactive mindset.
• Comfort challenging decisions in a collaborative, high-quality process.

Responsibilities

• Own end-to-end development of AI enablement tools and platforms.
• Contribute to internal skills marketplace and AI distribution platform.
• Collaborate with AWS, Microsoft and GitHub on early-access AI tech.
• Ensure reliability with runbooks, monitoring, and rollback strategies.

Skills

C#

.NET

AWS

Python

TypeScript

Job description

Senior Software Engineer, AI Enablement

You'll join a small team that builds the tools, platforms and best practices helping engineers across Xero work with AI. Rather than shipping something once and moving on, you'll own it end to end from early experimentation through to production, including the run books, monitoring and rollback thinking that keep it reliable once real engineers depend on it day to day.

The role & impact

This is a role with real influence. You'll help shape the technical direction of an internal skills marketplace and AI distribution platform used across the wider engineering organisation, work directly with vendors like AWS, Microsoft and GitHub on technology that isn't public yet, and help guide and challenge a team that's still early in its AI journey.

The team & how they connect

The AI Enablement team sits within Engineering Experience and focuses on helping product engineering teams work faster and better with AI through platforms, tooling and practical guidance rather than just standard tooling. It's a close-knit team, spread across Melbourne, Sydney and the Sunshine Coast, with a product manager based in Wellington, who stay connected through regular syncs and a genuinely collaborative way of working despite the distance.

Initially, you will focus on

• Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling
• Building an internal skills marketplace and a distribution platform for AI tools used across Xero's engineering org
• Developing guidance and best practice for authoring agent skills, including agents for remediation tasks
• Collaborating directly with AWS, Microsoft and GitHub on early-access technology not yet available in market

Where and how you can work

You can be based anywhere in Australia, and we're also open to candidates based in New Zealand. The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team.

Here are some of the things we're looking for, for this role

• You bring hands-on software engineering experience, ideally with C#, .NET and AWS — if your background is elsewhere, we're still keen to talk, as good engineers pick up new stacks quickly
• You've built internal tools or platforms that other engineers genuinely relied on
• Production discipline matters to you: You write runbooks, set up monitoring and think through rollback before anything goes live
• You communicate clearly and know how to bring people along with an idea, not just ship code quietly in the background
• You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading
• You can challenge a decision directly and respectfully, and you learn new things in a structured, quality-focused way