Senior Forward Deployed Engineer (Ai Agents And Automation)

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-endYour 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 effectivelyYou 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 solutionsDesign and iterate on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCPIntegrate AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuiteDevelop reusable automation patterns and shared templates to be used by the businessBuild evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflowsA systems-thinking approach to designing agents with security, auditability, and controlled blast radius in mindA track record of partnering with non-technical stakeholders to translate business pain points into technical solution designsExperience building and operating applications or automations in production environments, particularly involving APIs and cloud infrastructureEnjoy coaching and uplifting others' AI fluency through pairing, workshops, and clear communicationProficiency in a programming language such as Python or TypeScript, and comfort navigating SDKs and webhooksHands-on experience delivering AI-driven solutions such as agents, copilots, or RAG systems using LLMs
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