[Hiring] Technical Consultant @Applied Materials

Role Description

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.

• Identifies customer AI opportunities.
• Develops solution architectures.
• Leads demonstrations and Proof-of-Concept engagements.
• Converts early customer experience into repeatable presales capabilities.
• 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.

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