Technical Consultant – AI Products
Applied Materials3 days ago
Base Salary
$128k - $176k/yr
Responsibilities
- Lead technical discovery sessions covering customer challenges, AI readiness, data, infrastructure, security, and business outcomes.
- Translate customer requirements into AI solution architectures, use cases, demonstrations, and proof-of-concept proposals.
- Lead or coordinate customer demonstrations, workshops, technical evaluations, and proof-of-concept activities.
- Support early product validation with lighthouse customers and strategic accounts.
- Capture customer feedback, competitive gaps, deployment blockers, and product requirements for Product Management and Engineering.
- Create reusable presentations, qualification guides, demo packages, architecture diagrams, statements-of-work inputs, and proof-of-concept playbooks.
- Train and enable regional presales teams on AI product positioning, qualification, architecture, demonstrations, and proof-of-concept execution.
- Coordinate technical ownership and resources for complex AI opportunities and establish handoff criteria to execution, delivery, or support teams.
- Develop customer-facing value stories connecting AI capabilities to manufacturing outcomes.
- Travel for customer workshops, demonstrations, internal training, and strategic engagements as required.
Requirements
- 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.
- Preferred experience in semiconductor manufacturing, factory automation, equipment engineering, process control, yield management, or manufacturing IT.
- Preferred 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.
- Preferred knowledge of generative AI, reinforcement learning, predictive modeling, agentic workflows, or manufacturing knowledge systems.
- Ability to work effectively across global and regional teams.
Benefits
- Comprehensive benefits package and programs supporting employee health, wellbeing, and professional growth.
- Full-time regular employment.
- Home/mobile work location in Arizona.
- Approximately 25% travel required.
- Relocation eligible.
- Potential eligibility for bonus and stock award programs, as applicable.
Tech Stack
Categories
Solutions Engineering
About Applied Materials
Applied Materials builds semiconductor and display manufacturing equipment and related materials engineering technologies used by chip and flat-panel makers. It sells capital tools, process technology, and lifecycle services and software to support high-volume wafer fabrication and display production worldwide. Founded in 1967 and headquartered in Santa Clara, California, the company is publicly traded on NASDAQ under the ticker AMAT.