AI Solutions Engineer

Apple; Hyderabad; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

Apple in Hyderabad is seeking an AI Solutions Engineer to develop next-generation AI systems in the supply chain. The ideal candidate will have 7+ years in data engineering and expertise in Generative AI.

This role involves designing AI solutions tailored for supply chain tasks, utilizing technologies such as LLMs and machine learning, and ensuring robust data integration.

Successful applicants will have a strong background in data science and supply chain processes.

Qualifications

• 7+ years of experience in data engineering, AI/ML, or analytics roles.
• 4+ years of hands-on experience with Generative AI and Agent-based architectures.
• Deep understanding of supply chain processes (planning, logistics, procurement, manufacturing).

Responsibilities

• Design, build, and deploy Generative AI solutions for supply chain use cases.
• Lead the experimentation and operationalization of AI agents.
• Architect scalable data pipelines for AI/ML workloads.

Skills

Generative AI

Data Engineering

Machine Learning

SQL

Python

Cloud (AWS/GCP/Azure)

Education

Bachelor's or Master's in Computer Science, Data Science, Operations Research, or related field

Tools

SQL

Spark

Airflow

Job description

Summary

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.

Description

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.

Responsibilities

• Design, build, and deploy Generative AI and Agentic AI solutions tailored for supply chain use cases (e.g., demand forecasting, scenario planning, anomaly/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.
• 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.
• 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 procurement operations.
• Drive continuous improvement through digital twin models, predictive analytics, and scenario simulation.
• 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.
• 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.

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.