Senior Director, Enterprise AI & Automation

Applied Materials

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$224,000–$308,000 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $266k
$169k most similar roles pay here $323k

This role pays more than 83% of similar roles. Most pay $185,400–$246,287 — the shaded band above. At the midpoint, this role pays about $266k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Applied Materials

Applied Materials is the world''s largest supplier of equipment, services, and software for the semiconductor and display industries, enabling the production of chips and advanced displays. Industry: Semiconductor Equipment

Applied Materials currently has 95 open roles on FindRole.

Listed pay typically runs $138,000–$190,000 across 95 roles with salary data.

Most-posted roles

View all roles at Applied Materials

At a glance

TL;DR · Senior Director, Enterprise AI & Automation

Applied Materials is hiring an experienced engineering leader to drive its enterprise-wide AI and Generative AI strategy, overseeing PoC-to-production delivery across various domains such as contract analytics, quality, finance, and supply chain. This role involves architecting agentic AI systems, fine-tuning large language models (LLMs), and establishing robust MLOps practices using tools like Databricks and MLflow. The leader will also manage an RPA Center of Excellence to deliver significant cost savings through automation. Ideal candidates have over 15 years of experience in software engineering or data science, with a strong track record in scaling AI/ML programs and deploying RPA solutions at scale. Proficiency in Python, multi-cloud AI platforms, and agentic AI frameworks is essential, along with deep expertise in LLMs and MLOps tooling. Experience in the semiconductor industry and contributions to responsible AI policies are preferred.

What you'll do

  • Own and execute enterprise-wide AI/GenAI strategy across multiple domains.
  • Architect and govern multi-agent frameworks for large-scale LLM deployments.
  • Lead end-to-end MLOps programs including CI/CD, feature stores, and monitoring.
  • Design and deploy agentic AI systems integrating with ERP, CRM, and ITSM.
  • Drive enterprise RPA Center of Excellence to deliver cost avoidance and efficiency.

What we're looking for

  • Over 15 years of experience in software engineering, data science, or AI/ML with at least 7 years leading large teams.
  • Proven track record delivering enterprise-scale AI and GenAI programs with measurable business impact.
  • Extensive experience deploying RPA programs at scale using UiPath or similar platforms.
  • Deep expertise in fine-tuning LLMs, prompt engineering, and multi-cloud AI platform management.
  • Hands-on experience with MLOps tooling including Databricks/MLflow, Kubeflow, SageMaker, and model monitoring.

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