AI Engineer
At a glance
Mid-level AI Engineering role at Applied Materials. Singapore,SGP · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build systems that bring together plant, supply chain and engineering data for analysis
- Use statistical, machine learning and data mining methods to address yield, maintenance and manufacturing constraints
- Create AI workflows that automate data preparation, model runs and decisions at scale
- Set up data structures for real-time analysis, digital twins and manufacturing AI applications
- Turn analysis into operational recommendations with manufacturing, supply chain and engineering teams
What you bring
- At least ten years working with agent-based systems, AI orchestration and workflow automation
- Deep capability in manufacturing data science, AI and machine learning, plus knowledge of supply chain, quality or engineering
- You can lead cross-disciplinary teams and explain technical findings to senior stakeholders
Who this fits
This senior-level role suits someone who can guide manufacturing analytics and AI work, mentor multidisciplinary teams and shape operational decisions. It is based in Singapore, offers relocation eligibility and involves travel for about a tenth of the time.
From the employer
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
Location:
Singapore,SGPYou’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.
Key Responsibilities
Architect and scale manufacturing data ecosystems by designing and implementing robust methods, processes, and systems to ingest, consolidate, and analyze structured and unstructured data from diverse plant, supply chain, and engineering sources.
Lead advanced analytics and modeling initiatives by applying statistical, machine learning, and data mining techniques (Python, R) to solve complex manufacturing problems such as yield optimization, predictive maintenance, and constraint resolution.
Drive agentic workflows and intelligent automation by building autonomous, AI-powered pipelines that orchestrate data ingestion, feature engineering, model execution, and decision-making at scale, reducing manual intervention and accelerating time-to-insight.
Define and optimize data architecture including data acquisition strategies, semantic layers, and scalable data models that support real-time analytics, digital twins, and AI-driven manufacturing use cases.
Translate data into actionable business outcomes by partnering closely with manufacturing operations, supply chain, and product engineering teams to define KPIs, uncover insights, and operationalize recommendations.
Develop production-grade analytics solutions by designing algorithms, models, and automation pipelines leveraging SQL, Python, and modern data platforms to cleanse, integrate, and process large-scale industrial datasets.
Enable experimentation and continuous improvement by collaborating with product, engineering, and operations teams to frame hypotheses, design experiments, and uncover deeper correlations that extend beyond current measurement systems.
Communicate insights with executive impact by translating complex analytical findings into clear, compelling narratives and visualizations that influence senior leadership decision-making and operational strategies.
Functional Expertise
Recognized as a thought leader in manufacturing data science, with deep expertise in advanced analytics, AI/ML, and industrial data systems, complemented by strong cross-domain knowledge (supply chain, quality, engineering).
10+ years of experience in agent-based systems, AI orchestration frameworks, and workflow automation, enabling scalable and reusable analytics solutions.
Business Acumen
Proactively anticipates manufacturing, supply chain, and regulatory challenges, recommending data-driven improvements to processes, product quality, and operational efficiency.
Aligns analytics initiatives with strategic business priorities, driving measurable impact across cost, throughput, yield, and cycle time.
Problem Solving
Tackles highly complex, ambiguous problems with significant business impact using innovative analytical approaches, including AI-driven simulations, optimization models, and graph-based reasoning.
Designs end-to-end intelligent systems that integrate data, models, and decision logic into automated workflows.
Impact
Influences strategic direction, investment decisions, and resource allocation for analytics and AI programs within manufacturing.
Establishes best practices for data products, automation frameworks, and AI adoption across global operations.
Interpersonal Leadership
Effectively communicates complex technical concepts to senior stakeholders, anticipating objections and driving alignment across cross-functional teams.
Leads and mentors multi-disciplinary teams (data science, engineering, analytics, and UI/API) to deliver high-impact, production-ready solutions.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesApplied 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.