Senior Director, Enterprise AI & Automation

Applied Materials
Santa Clara
Workplace: OnsiteFull timeUSD 224,000 - 308,000 annuallyFunction: Data Science & Machine LearningExperience: 15+ yearsEducation: bachelorsSkills: ["Leadership","Strategic planning","Stakeholder management","Innovation","Responsible AI governance"]

Lead Applied Materials’ enterprise strategy and execution for AI, Generative AI, agentic automation, MLOps, and RPA. Own the full AI/GenAI lifecycle from PoC to production across domains such as Contract Analytics, Quality, Finance, and Supply Chain. Build and govern an enterprise LLM platform across multi-cloud (Azure AI Foundry, AWS Bedrock, GCP Vertex AI), driving MLOps modernization, model governance, and enterprise automation outcomes.

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FursaFursa
Applied Materials
Applied Materials
2 months ago

Senior Director, Enterprise AI & Automation

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Job Summary

Lead Applied Materials’ enterprise strategy and execution for AI, Generative AI, agentic automation, MLOps, and RPA. Own the full AI/GenAI lifecycle from PoC to production across domains such as Contract Analytics, Quality, Finance, and Supply Chain. Build and govern an enterprise LLM platform across multi-cloud (Azure AI Foundry, AWS Bedrock, GCP Vertex AI), driving MLOps modernization, model governance, and enterprise automation outcomes.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Own enterprise AI/GenAI strategy and PoC-to-production delivery across business domains (Contract Analytics, Quality, Finance, Supply Chain).
  • •Architect and govern enterprise agentic AI strategy, deploying multi-agent and LLM-powered tools at scale.
  • •Lead end-to-end MLOps programs, including training pipelines, CI/CD for ML, feature stores, and production monitoring with governance for bias, explainability, and drift.
  • •Architect and deploy enterprise multi-agent AI systems and internal AI tools, integrating with ERP, CRM, and ITSM for end-to-end automation.
  • •Lead the RPA Center of Excellence and enterprise automation programs with measurable cost avoidance and efficiency gains, including RPA governance and KPIs.
Travel: Medium travel

Pay and Benefits

Salary: USD 224,000 - 308,000 annually
Equity and Bonus:Equity

Key Requirements

  • •15+ years in software engineering, data science, or AI/ML, with 7+ years leading large engineering or AI teams.
  • •Deliver enterprise-scale AI/GenAI programs with measurable business impact, including building/scaling production MLOps platforms.
  • •Deploy RPA programs at scale (UiPath, Blue Prism, Automation Anywhere, or equivalent) and have hands-on experience with agentic AI frameworks (LangChain, AutoGen, CrewAI, or comparable).
  • •Experience leading governance, legal, and security review processes for AI/GenAI deployments in regulated or enterprise contexts.
  • •Strong deep LLM expertise including fine-tuning, prompt engineering, RAG architectures, and domain adaptation.
Experience:15+ yearsSemiconductorAdvanced manufacturingCapital equipment
Education:Bachelor's
Skills:LeadershipStrategic planningStakeholder managementInnovationResponsible AI governance
Tech Stack:Azure AI FoundryAWS BedrockGCP Vertex AIJFrogMCP (Model Context Protocol)DatabricksMLflowKubeflowSageMakerUiPath AutoPilotUiPathBlue PrismAutomation AnywherePythonPyTorchHugging Face TransformersLangChainAutoGenCrewAIRAG architecture

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
Glassdoor
Glassdoor: 3.9
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