Lead Engineer - Applied AI

The role

You will embed within internal business teams to co-design and operationalise agentic AI workflows. You will lead the delivery of AI agents from discovery to production and define patterns, guardrails, and tooling for intelligent automation.

What you will do

• Designing and iterating on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP
• Integrating AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite
• Developing reusable automation patterns and shared templates to be used by the business
• Building evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows
• Leading the delivery of high-stakes AI agents from discovery to production
• Acting as a technical partner and evangelist
• Defining patterns, guardrails, and tooling for intelligent automation
• Partnering with non-technical stakeholders to translate business pain points into technical solution designs
• Coaching others through pairing, workshops, and clear communication

Required qualifications

• Experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure
• Hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini
• Proficiency in programming languages such as Python or TypeScript
• Comfort navigating SDKs and webhooks
• Systems-thinking approach to design agents with security, auditability, and controlled blast radius
• Track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs
• Natural coach who enjoys uplifting the AI fluency of those around you

About the company

Xero is transforming into an AI-native company. The Internal AI Accelerator Squad focuses on boosting the adoption of agentic AI and intelligent automation across the global business.