Job Description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish.

We are seeking an experienced and hands-on AI Solutions Engineer to conceptualise, develop, and deploy 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 Science and supply chain functional expertise.

You will ideate, give ideas shape, and connect the dots between AI capabilities and real-world business challenges, driving automation, resilience, and efficiency across the value chain.

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 collaborating with global teams in a matrixed organization.

Minimum Qualifications

Bachelor’s or Master’s in Computer Science, Data Science, Operations Research, or a related field.
7+ 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 science: 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.