• 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. • 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.

• Provide technical leadership for the full lifecycle of generative AI full-stack solutions (front-end React/Node, back-end Python), applying Spec-Driven Development (specification and tests before implementation) and Harness Engineering (automated validation of the rendered artifact) as the single engineering standard — complementary, not competing approaches; • Architect and operate RAG, LLMOps, and MLOps pipelines on Azure AI Foundry, ensuring network isolation, sandboxing for execution of code generated by LLMs, and end-to-end traceability; • Implement governance, security, and privacy controls for AI by design — model risk management, prevention of prompt injection/data leakage, and minimization and anonymization of personal and health data in accordance with LGPD; • Establish and maintain automated quality gates (QA harness) for AI-generated outputs, providing deterministic feedback (coordinates/metrics) instead of subjective evaluation; • Serve as the technical reference for internal teams and vendors, defining architecture standards, code review practices, and acceptance criteria for AI solutions;

Role Description The Forward Deployed Engineer works directly alongside Duracell business teams to build, deploy, and support AI-powered solutions in the field. This is a hands-on engineering role focused on getting working solutions into users’ hands quickly and improving them based on real feedback. Success in this role means turning ambiguous business problems into deployed, adopted solutions that leverage machine learning, large language models (including Claude), and modern AI capabilities. This role partners with other areas of IT to keep what gets built aligned with the broader architecture and standards. A key part of this role is packaging and deploying those solutions, publishing apps and other lightweight agents to a shared location, often on Azure, so teams across Duracell can find and use them. Qualifications - Experience in deploying AI-powered solutions. - Strong understanding of machine learning and large language models. - Hands-on engineering experience. - Ability to work collaboratively with business teams. - Familiarity with Azure and app deployment. Requirements - Proven track record of turning business problems into solutions. - Experience in packaging and deploying software solutions. - Strong communication skills for collaboration with IT and business teams. - Ability to adapt based on user feedback. Benefits - Opportunity to work with cutting-edge AI technology. - Remote work flexibility. - Engagement in meaningful projects that impact the business. Company Description Duracell is the world’s leading manufacturer and marketer of high-performance alkaline batteries, complemented by a portfolio of high quality, market leading specialty, rechargeable and professional batteries. Duracell’s products power numerous critical professional devices across the globe such as heart rate monitors, defibrillators, telemetry devices, smoke detectors, fire alarms, automated valves and security systems. As the leader in the professional power category, Duracell has a rich history of innovation, continuously introducing batteries that are smaller, thinner, with more energy and longer lasting than competitive brands. Since March 2016, Duracell has found its permanent home within Berkshire Hathaway (ranked #4 World's Most Admired Companies by Fortune Magazine and #3 in the Fortune 500), and will continue to focus on sustainable growth, industry-leading innovation while creating long-term value for our customers and consumers. At Duracell, integrity, end-to-end accountability across all levels, fast decision-making and a “can do” attitude is highly valued.

• Support the team in productionising AI and machine learning solutions • Work closely with and under the guidance of senior engineers • Help integrate AI models into production systems • Collaborate with data scientists, software engineers, and product teams • Deliver robust, scalable AI solutions that enhance our Workday product offerings