Data Solutions Architect

Imagine what you could do here At Apple we believe new ideas have a way of becoming phenomenal products services and customer experiences very quickly Bring passion and dedication to your job and there s no telling what you could accomplish The people here at Apple don t just create products - they create the kind of wonder that s revolutionised entire industries It s the diversity of those people and their ideas that inspires the innovation that runs through everything we do from amazing technology to industry-leading environmental efforts Join Apple and help us leave the world better than we found it Apple Operations and Supply Chain delivers to customer promise with revolutionary precision accuracy and at an immense scale At the heart of that revolution precision accuracy and scale are best in class processes and systems We are seeking an experienced and hands-on Supply Chain Data Solutions Architect to lead the development and deployment of next-generation AI systems in our global supply chain function This role will focus on implementing cutting-edge Generative AI and Agentic AI solutions backed by strong Data Engineering practices and supply chain domain expertise Description As a Data Solutions Architect we look forward to your bridging the gap between AI capabilities and real-world business challenges driving automation resilience and efficiency across the value chain Key responsibilities include AI Agentic Systems Implementation - Design build and deploy Generative AI and Agentic AI solutions tailored for supply chain use cases e g demand forecasting scenario planning exception handling data monitoring - Leverage technologies like LLMs autonomous agents reinforcement learning and reasoning frameworks to power decision-making tools - Lead the experimentation and operationalization of AI agents across planning sourcing logistics and fulfillment domains Data Engineering Infrastructure - Architect scalable data pipelines that ingest transform and serve high-quality data for AI ML workloads - Ensure robust data integration from ERP Supply Chain systems and third-party APIs e g weather risk - Implement MLOps best practices to manage AI lifecycle versioning monitoring retraining and governance Supply Chain Domain Expertise - Work closely with cross functional supply chain IT and operations teams to translate business challenges into AI-driven solutions - Bring functional understanding across areas like S OP inventory management supplier risk and transportation optimization - Drive continuous improvement through digital twin models predictive analytics and scenario simulation Cross-Functional Leadership - Collaborate with data scientists and engineers in a fast-paced agile environment - Act as a thought leader in identifying high-value opportunities for AI within the enterprise supply chain - Present technical concepts and business value to executive stakeholders clearly and persuasively Minimum Qualifications Bachelor s or Master s in Computer Science Data Science Operations Research or a related field 10 years of experience in data engineering AI ML or analytics roles 4 years of hands-on experience with Generative AI e g GPT Claude open-source LLMs and Agent-based architectures LangChain AutoGen etc Strong background in data engineering SQL Spark Python Airflow cloud AWS GCP Azure and data lakes Deep understanding of supply chain processes planning logistics procurement manufacturing Familiarity with MLOps tools vector databases e g Pinecone FAISS and AI safety practices Preferred Qualifications Experience with commercial supply chain platforms e g Kinaxis Blue Yonder Exposure to digital twin and simulation platforms Strong storytelling communication and stakeholder management skills Experience in building and leading cross-functional project teams in a matrixed organization