Applied AI Engineer at Amcor

Job description

Accelerate the possible by joining a winning Amcor team that’s transforming the packaging industry and improving lives around the world. At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It’s our core value and integral to how we do business. Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win – adapting quickly in an everchanging world – and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business. To learn more about playing for Team Amcor, visit www.amcor.com I LinkedIn I Glassdoor I Facebook I YouTube Job Description The Applied AI Engineer accelerates R&D innovation by applying AI solutions to improve decision making and engineering productivity across the global Flexibles R&D organization. This role identifies high-value opportunities for AI and develops scalable solutions ranging from knowledge discovery and intelligent automation to predictive modeling and decision support. Working closely with R&D, IT, Information Security, and business stakeholders, the position ensures responsible adoption, resilient solutions, and measurable business impact. The role also helps shape Amcor's R&D AI strategy by evaluating emerging technologies and identifying new ways to leverage technical knowledge, data, and insights across the organization. WHAT YOU GET TO DO Applied AI & Digital Innovation Develop and deploy AI-enabled knowledge systems that connect structured and unstructured enterprise data and R&D content, making technical information accessible and actionable Deliver AI-assisted decision-support capabilities — including material and construction selection and product design validation — that improve the speed, quality, and consistency of technical and business decisions Solve meaningful business problems — using predictive modeling, intelligent automation, knowledge systems, and generative AI solutions — selecting the right technique based on value, practicality, and scalability Establish testing, monitoring, and evaluation practices that keep these systems reliable, transparent, and aligned with responsible AI principles Evaluate emerging technologies — retrieval, generative AI, and applied machine learning — and translate them into practical applications for R&D, contributing to Amcor's long-term AI strategy Knowledge & Data Engineering Build and maintain the data structures, semantic layers, metadata, and retrieval mechanisms that enable AI systems to effectively interpret, connect, and use R&D's structured and unstructured information. Serve as subject-matter expert in R&D systems, encoding domain knowledge — schema semantics, data relationships, units — into the AI infrastructure (model providers, data stores, orchestration and evaluation frameworks) so answers are correct rather than merely plausible Identify and close the data gaps that block the AI capability directly, and partner with data engineering and IT functions on general ingest and pipeline work Define the information architecture, knowledge-management standards, and governance approaches that ensure R&D knowledge remains machine-interpretable, reusable, and scalable across AI applications. Cross-Functional Collaboration & Adoption Assess security exposure and cost before extending model access to new R&D systems and data, and work through how each capability fits into global R&D processes ahead o