• Desarrollar y mantener funcionalidades clave, incluyendo orquestación de IA, integración de LLMs y arquitectura backend escalable, dentro de una base de código madura basada en Domain Driven Design.

• Work directly with customers to foster positive relationships to drive growth and profit. • Collaborate with internal technical teams, manufacturing, suppliers, customers, and commercial partners to identify product requirements and develop innovative solutions. • Translate customer and market needs into technical product specifications. • Partner with manufacturing teams to optimize products for efficient production and successful commercialization. • Prepare Bills of Material (BOMs), technical documentation, and commercialization packages. • Support project management activities using the Stage Gate Process, ensuring milestones, timelines, and deliverables are achieved. • Interact with raw material suppliers to stay current with polymer systems, functional additives, physical property testing techniques, and various packaging and manufacturing equipment. • Assess current products and product lines for increasing sustainability across Amcor, which may include, downgauging, carbon emission reduction, recycled content and renewable or compostable materials. • Lead cost out initiatives while working with the customers, operations, and procurement teams to deliver financial objectives for the division. • Effectively communicate technical findings and recommendations to both technical and non-technical audiences. • Perform other duties as assigned.

• Contribute to a global and diverse culture that encourages innovation • Collaborate with a vibrant, talented team to solve complex business problems

• Lead and scale a high-performing engineering organization across software, platform engineering, QA, DevOps, architecture, and enterprise systems. • Build a culture centered around engineering excellence, accountability, innovation, experimentation, and continuous improvement. • Drive organizational transformation toward AI-assisted engineering workflows and modern software delivery practices. • Establish strong leadership development, succession planning, coaching, and talent management programs. • Recruit and retain top-tier engineering talent capable of operating in fast-paced, high-scale environments. • Create high talent-density engineering teams with clear ownership, accountability, and measurable outcomes. • Lead adoption of AI-native engineering practices across the SDLC including AI-assisted coding, testing, observability, documentation, and operational automation. • Drive engineering productivity improvements through modern developer tooling, automation frameworks, platform engineering, and generative AI workflows. • Partner with Product, Data, and ML teams to operationalize AI and machine learning capabilities into customer-facing and operational platforms. • Establish governance, standards, and security practices for responsible AI adoption across engineering. • Evaluate emerging technologies, AI frameworks, and modern architectures to accelerate innovation and business impact. • Partner with the CDTO to define and execute the long-term technology vision and engineering roadmap. • Lead modernization initiatives to simplify legacy systems, reduce technical debt, improve resiliency, and increase engineering velocity. • Drive migration toward modular, service-oriented, API-first, and cloud-native architectures. • Provide technical oversight across distributed systems, cloud infrastructure, backend services, frontend applications, and embedded kiosk technologies. • Champion scalable, secure, resilient, and observable engineering patterns across all platforms. • Support international expansion and future platform scalability through strong architecture governance. • Own end-to-end engineering delivery from architecture and development through testing, deployment, monitoring, and operational support. • Establish engineering operating metrics including DORA metrics, release quality, deployment frequency, MTTR, reliability, and developer productivity. • Improve software delivery velocity while maintaining strong standards for quality, security, and resiliency. • Drive operational excellence through automation, observability, SRE practices, CI/CD, and platform standardization. • Partner closely with Product, UX, Data, Security, Operations, Finance, and executive leadership teams.