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Apple Data Solutions Architect WW Operations Business Process Reengineering 
India, Telangana, Hyderabad 
217029460

09.07.2025
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.
  • 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.
  • 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.