Senior Forward Deployed Engineer (AI Agents and Automation) at Xero — NeverHard
Senior Forward Deployed Engineer (AI Agents and Automation) at Xero in Canada. Skills: AI Agents, Automation, Claude, Gemini, Machine Learning. Apply on NeverHard.
Company
Xero
Location
Canada
Type
not_specified
Required skills:
AI Agents
Automation
Claude
Gemini
Machine Learning
NetSuite
Salesforce
Slack
Workday
workflow orchestration
As a Senior Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero's transformation into an AI-native company. You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end
Your impact extends beyond the code; you will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively
You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business. The team connects through a shared mission of rapid experimentation and "vibe-coding," working closely with product owners and SMEs to turn complex, messy workflows into elegant, automated solutions
Design and iterate on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP
Integrate AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite
Develop reusable automation patterns and shared templates to be used by the business
Build evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows
A systems-thinking approach to designing agents with security, auditability, and controlled blast radius in mind
A track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs
Experience building and operating applications or automations in production environments, particularly involving APIs and cloud infrastructure
Enjoy coaching and uplifting others' AI fluency through pairing, workshops, and clear communication
Proficiency in a programming language such as Python or TypeScript, and comfort navigating SDKs and webhooks
Hands-on experience delivering AI-driven solutions such as agents, copilots, or RAG systems using LLMs
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