Lead Engineer (AI FDE)
- Canada
- Lead/Staff
- Posted
Skills
Required
- programming languages
- Python / TypeScript
- SDKs
- webhooks
- automations
- APIs
- cloud infrastructure
Preferred
- AI
- agents / copilots / RAG
- Claude / Gemini
- delivery of AI-driven solutions
- LLMs
- platforms
- developing reusable automation patterns
Xero as a Lead AI Workflows Engineer, where you will play a crucial role in transforming the company into an AI-native organization. You will work closely with various internal business teams to design and operationalize AI workflows that eliminate manual tasks and enhance productivity.
Responsibilities
- Your responsibilities will include leading the delivery of AI agents, integrating AI systems with core enterprise platforms, developing reusable automation patterns, and building evaluation frameworks to measure performance.
- You will also have the opportunity to coach and uplift the AI fluency of your colleagues.
- Lead the delivery of high-stakes AI agents from discovery to production, acting as a technical partner and evangelist.
- Design and iterate on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP, and integrate AI systems with core enterprise platforms.
- Develop reusable automation patterns and shared templates to be used by the business, and build evaluation and monitoring frameworks to measure performance.
- You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication
Requirements
- A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront
- You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks
- You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs
- You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure
Preferred
- Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini
