Senior UX Architect for Edge AI & Robotics Platforms

Intel

George Town

On-site

MYR 180,000 - 280,000

Full time

7 days ago

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Job summary

Intel in Malaysia, Penang, seeks an experienced Front-End/ UX Experience Engineer to translate business needs into scalable digital experiences across Edge AI and Robotics platforms. You will shape user journeys, IA, and production-ready requirements, collaborating with multiple teams to ensure simple, consistent, and measurable experiences aligned with ecosystem scale goals.

The role emphasizes defining UX standards, validating capabilities, and guiding partner enablement through clear

Qualifications

Bachelor degree or equivalent practical experience in UX design, product design, human-computer interaction, information systems, computer science, product management, or a related field.
8+ years of experience in UX architecture, product design, digital product management, enterprise web platforms, or customer-facing digital experience roles.
Demonstrated experience translating ambiguous business requirements into clear user journeys, UX specifications, wireframes, and acceptance criteria.
Strong understanding of information architecture, content models, metadata concepts, usability principles, and platform consistency.
Experience working with engineering, product, marketing, and business stakeholders in globally distributed teams.
Strong written and verbal communication skills with ability to explain experience tradeoffs to business and technical audiences.

Responsibilities

Translate stakeholder and customer needs into product requirements, user journeys, workflow diagrams, wireframes, and acceptance criteria.
Define information architecture for ecosystem catalog, onboarding, qualification, training, and partner enablement experiences.
Create development-ready UX specifications that reduce ambiguity and improve build quality across internal and external delivery teams.
Partner with owners, stakeholders, business units, and development teams to prioritize platform capabilities.
Establish UX standards and design principles for consistent Edge AI, Robotics, catalog, and training experiences.
Review delivered capabilities against requirements, usability principles, and production-quality expectations.
Identify customer friction points and recommend experience improvements based on usage feedback, stakeholder inputs, and platform goals.
Support AI-native experience requirements by defining where intelligent search, recommendations, chatbot assistance, or guided workflows improve the customer journey.