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Applied Materials

Technical Consultant – Process Quality Products

Phoenix, AZ, United States

$128,000.00 - $176,000.00 · Full-time

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Job details

Pay: $128,000.00 - $176,000.00
Job type: Full-time
Posting language: English
Posted: Jul 14, 2026

Original job description

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

What We Offer

Salary:

$128,000.00 - $176,000.00

Location:

Home / Mobile,AZ-001

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible - while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits (https://hrportal.ehr.com/applied/) .

Role Overview

The Technical Consultant for AI Offerings supports the introduction, technical positioning, and customer adoption of emerging AI solutions. This role serves as the technical bridge among customers, regional presales teams, Product Management, Engineering, Sales, and deployment organizations.

The consultant identifies customer AI opportunities, develops solution architectures, leads demonstrations and Proof-of-Concept engagements, and converts early customer experience into repeatable presales capabilities. The position supports AI offerings across Process Quality, factory productivity, manufacturing operations, equipment intelligence, and SmartFactory applications.

Key Responsibilities

AI Solution Consulting

Lead technical discovery sessions to understand customer manufacturing challenges, AI readiness, data availability, infrastructure, security requirements, and expected business outcomes.
Translate customer requirements into AI solution architectures, use cases, demonstrations, and Proof-of-Concept proposals.
Develop customer-facing value stories that connect AI capabilities to measurable outcomes such as yield improvement, faster time to results, equipment productivity, process optimization, and troubleshooting efficiency.
Position individual AI products as part of an integrated AI and SmartFactory solution.

AI offerings and New Product Introduction

Support early product validation with lighthouse customers and strategic accounts.
Define use cases, required datasets, system prerequisites, success criteria, project scope, and engagement models for early customer evaluations.
Lead or coordinate demonstrations, workshops, technical evaluations, and Proof-of-Concept activities.
Capture customer feedback, competitive gaps, deployment blockers, and product requirements.
Provide structured feedback to Product Management and Engineering to improve product-market fit and deployment readiness.
Develop reusable customer presentations, qualification guides, demo packages, architecture diagrams, SOW inputs, and PoC playbooks.
Establish clear handoff criteria from AI offerings and NPI and presales activities to regional execution, delivery, or support teams.

Global Presales Enablement

Train and enable regional presales teams on AI product positioning, qualification, architecture, demonstrations, and PoC execution.
Create reusable technical assets and reference architectures for global customer engagements.
Support regional teams during complex, strategic, or first-of-kind customer opportunities.
Help establish AI readiness and certification standards for regional presales resources.
Convert early customer successes into repeatable sales plays, reference stories, and deployment practices.

Cross-Functional Collaboration

Partner with Product Management, Engineering, Sales, Marketing, regional presales, infrastructure, and services teams.
Coordinate technical ownership and resources for complex AI opportunities.
Clarify responsibilities across presales, product engineering, delivery, and customer-support organizations.
Ensure customer commitments align with product maturity, available resources, delivery capability, and roadmap plans.

Minimum Qualifications

Bachelor's degree in engineering, computer science, data science, semiconductor manufacturing, or a related technical field.
Experience in technical consulting, solution architecture, presales, product engineering, application engineering, or customer-facing technology delivery.
Understanding of AI or machine-learning concepts, data pipelines, model deployment, analytics, optimization, or industrial AI applications.
Experience translating business or manufacturing requirements into technical solutions.
Strong presentation, communication, and customer-engagement skills.
Ability to coordinate complex projects across product, engineering, sales, and regional organizations.
Ability to travel for customer workshops, demonstrations, internal training, and strategic engagements as required

Preferred Qualifications

Experience in semiconductor manufacturing, factory automation, equipment engineering, process control, yield management, or manufacturing IT.
Experience with FDC, SPC, run-to-run control, virtual metrology, predictive maintenance, MES, scheduling, optimization, or Digital Twin solutions.
Familiarity with industrial AI architectures, REST APIs, data integration, cloud or on-premises deployment, containers, and Kubernetes.
Experience defining or leading AI demonstrations and Proof-of-Concept projects.
Knowledge of generative AI, reinforcement learning, predictive modeling, agentic workflows, or manufacturing knowledge systems.
Ability to work effectively across global and regional teams.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 25% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site (https://www.appliedmaterials.com/us/en/careers.html) accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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More about this job

Skills

Sales
Customer experience
Security regulations
Troubleshooting
Product comprehension
Presentation skills
Collaboration
Customer service
Computer science
Provide technical expertise
Communication skills
Control engineering
SPC
MES
Scheduling
API development
Kubernetes

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