Senior AI & Analytics Engineer, Transforming Supply Chain

AMD; Austin (TX); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Benefits at a glance

Job summary

AMD is seeking a senior AI/analytics expert to architect, develop, and operationalize AI-driven analytics across the supply chain. You will influence architecture, partner with global teams, and drive autonomous decisioning in planning, logistics, and inventory.

The role emphasizes technical depth, scalable data platforms, and leadership growth in a dynamic, fast-paced environment. Collaboration across IT, Transformation, and business units is essential.

Qualifications

• Expertise in Python and/or R, with hands-on experience building and deploying AI/ML models, generative solutions, or AI agents.
• Strong capability in Power BI (data modeling, DAX, semantic layer design) and familiarity with ThoughtSpot or similar tools.
• Demonstrated ability to architect scalable data and analytics solutions integrating models, pipelines, and AI agents with enterprise platforms.

Responsibilities

• Design, build, and deploy AI/ML models and advanced analytics to improve planning, inventory, logistics, and S&OP.
• Develop and operationalize AI agents that monitor supply chain signals and automate decision workflows.
• Translate complex supply chain problems into structured, data-driven solutions via exploratory analysis and optimization.

Skills

Python

R

Power BI

ThoughtSpot

AI agents

Data modeling

Communication

Leadership potential

Education

Bachelor’s or Master’s in data science, Engineering, Operations Research, Supply Chain, Computer Science, or related field

Tools

Power BI

ThoughtSpot

SAP

ERP systems

Python

Job description

AMD is seeking a senior AI/analytics expert to architect, develop, and operationalize AI-driven analytics across the supply chain. You will influence architecture, partner with global teams, and drive autonomous decisioning in planning, logistics, and inventory.

The role emphasizes technical depth, scalable data platforms, and leadership growth in a dynamic, fast-paced environment. Collaboration across IT, Transformation, and business units is essential.