The Lead Gen AI and ML Engineer at AMD will play a crucial role in developing architectures for Multi-Agentic AI solutions that enhance engineering execution and product delivery. This position requires a passionate senior-level individual who can lead initiatives, mentor junior developers, and collaborate effectively across different time zones. The ideal candidate will possess strong analytical and problem-solving skills, and will be involved in performance, automation, and development aspects of the team. The role emphasizes innovation, communication, and the ability to drive engineering excellence.

• Expert level Python programming and deep knowledge of ML Frameworks such as Scikit-Learn, PyTorch, or TensorFlow.
• Production-ready coding skills adhering to best practices.
• Strong experience in SQL.
• Experience in data wrangling and ETL processes including data cleaning, transformation, and integration.
• Demonstrated experience in MLOps and/or DataOps.
• Attention to detail and self-starter attitude.

• Design and lead the development of Gen AI and ML architectures to support Multi-Agentic AI solutions.
• Lead AI initiatives focusing on business impact-driven use cases and deliver end-to-end solutions.
• Develop, deploy, and serve ML models at scale with low latency and high performance.
• Drive engineering excellence through comprehensive code reviews and adherence to best practices for the MLOps lifecycle.
• Handle large datasets and develop scalable data pipelines using ETL/ELT.
• Work across multi-cloud environments and frameworks such as Langgraph and PyTorch.
• Critically evaluate what data should be collected and the implications of that data.

• AMD provides a competitive 'Total Rewards' package that focuses on financial growth, health, and work-life balance.