Applied Materials

4 weeks ago

Senior Director, AI Technical Programs

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead Applied Materials’ AI technical programs that help the Process Support Engineer (PSE) community work faster and more consistently. Own end-to-end delivery—from program direction and stakeholder alignment to risk, budgets, and outcomes. Build and scale GenAI/AI solutions for engineering workflows, create AI-ready PSE knowledge bases with governed access, evaluate options via pilots, and ensure adoption through hands-on PSE-relevant training.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key Responsibilities

•Lead AI programs end-to-end, setting direction, defining success, prioritizing use cases, tracking progress, managing risks, and reporting outcomes.
•Build and maintain PSE AI solutions, including AI-ready knowledge bases and chat/search/assistant-style access for faster answers and consistent guidance.
•Evaluate and recommend AI platforms, models, tools, vendors, and services through pilots, comparisons, and pilots-to-recommendations.
•Develop, lead, and grow a small team of AI practitioners to prototype, build, harden, and integrate solutions with real data sources and systems.
•Drive adoption in the field with hands-on PSE-relevant training, playbooks, beta programs, feedback capture, iteration, and proficiency/adoption measurement.

Travel: Medium travel

Pay and Benefits

Salary: USD 200,000 - 275,000

Equity and Bonus:Equity

Key Requirements

•10–15 years of experience leading cross-functional technical programs and delivering AI/ML or GenAI solutions through scaled enterprise deployment.
•Experience turning prototypes into production systems in an enterprise environment.
•A Bachelor’s degree (preferred: Master’s in CS, Data Science, Engineering, or related).
•Strong understanding of AI/ML and GenAI, including knowledge systems, retrieval, data quality, governance, and responsible deployment constraints.
•Ability to translate AI work into business outcomes (productivity, quality, operational performance) and build a clear value case while balancing cost, risk, and change effort.

Experience:10-15 yearsEnterprise AIGenAIAI/ML

Education:Bachelor's in CS, Data Science, Engineering (preferred)

Skills:Stakeholder alignmentInfluencing without authorityClear communicationStructured problem-solvingLeadership

Tech Stack:AI/MLGenAIKnowledge systemsRetrievalData governanceResponsible AIModel lifecycle

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: 3.9

Website LinkedIn Glassdoor

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Applied Materials

4 weeks ago

Senior Director, AI Technical Programs

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key Responsibilities

•Lead AI programs end-to-end, setting direction, defining success, prioritizing use cases, tracking progress, managing risks, and reporting outcomes.
•Build and maintain PSE AI solutions, including AI-ready knowledge bases and chat/search/assistant-style access for faster answers and consistent guidance.
•Evaluate and recommend AI platforms, models, tools, vendors, and services through pilots, comparisons, and pilots-to-recommendations.
•Develop, lead, and grow a small team of AI practitioners to prototype, build, harden, and integrate solutions with real data sources and systems.
•Drive adoption in the field with hands-on PSE-relevant training, playbooks, beta programs, feedback capture, iteration, and proficiency/adoption measurement.

Travel: Medium travel

Pay and Benefits

Salary: USD 200,000 - 275,000

Equity and Bonus:Equity

Key Requirements

•10–15 years of experience leading cross-functional technical programs and delivering AI/ML or GenAI solutions through scaled enterprise deployment.
•Experience turning prototypes into production systems in an enterprise environment.
•A Bachelor’s degree (preferred: Master’s in CS, Data Science, Engineering, or related).
•Strong understanding of AI/ML and GenAI, including knowledge systems, retrieval, data quality, governance, and responsible deployment constraints.
•Ability to translate AI work into business outcomes (productivity, quality, operational performance) and build a clear value case while balancing cost, risk, and change effort.

Experience:10-15 yearsEnterprise AIGenAIAI/ML

Education:Bachelor's in CS, Data Science, Engineering (preferred)

Skills:Stakeholder alignmentInfluencing without authorityClear communicationStructured problem-solvingLeadership

Tech Stack:AI/MLGenAIKnowledge systemsRetrievalData governanceResponsible AIModel lifecycle

Company Brief

Applied Materials

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: 3.9

Website LinkedIn Glassdoor