This role pays more than
86%
of similar roles. Most pay
$182,562–$257,500
— the shaded band above.
At the midpoint, this role pays about
$300k
versus about
$220k
for comparable roles.
Based on 240 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
367 open roles
on FindRole.
Listed pay typically runs
$166,400–$249,600
across 367 roles with salary data.
As a Head of AI Engineering Productivity within the Global Cluster Engineering team, you will serve as an individual contributor focused on accelerating the adoption of agentic systems across software and hardware engineering workflows. You will define and execute an AI enablement strategy, building scalable platforms, APIs, frameworks, and services to automate manual processes like bug triage, documentation generation, and knowledge retrieval. Your daily work involves developing reusable agent frameworks for tool orchestration and memory management while optimizing inference performance and operational costs at scale. To succeed, you must possess deep expertise in Large Language Models, agentic architectures, multimodal models, and AI-native developer workflows. You will solve complex problems regarding engineering productivity and hardware validation cycles by integrating advanced AI technologies into the core lifecycle of cluster development and delivery for large-scale infrastructure environments.
Artificial Intelligence
Machine Learning
Python
Java
C++
TensorFlow
Scikit-Learn
AWS
Cloud Platform
Microsoft Azure
Databricks
Snowflake
Data Engineering
Data Wrangling
Software Engineering
Data Analysis