Ecosystem UX Architect: Edge AI & Robotics

Intel Corporation

George Town

On-site

MYR 180,000 - 260,000

Full time

2 days ago

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Job summary

Intel Corporation seeks an experienced Digital/Front-End Experience Engineer to translate business and customer needs into scalable digital experiences across Intel Edge AI and Robotics ecosystem platforms. You will create user journeys, wireframes, and production-ready requirements, shaping unified experiences across catalog, onboarding, training, and partner enablement.

You will collaborate with cross-functional teams, set the UX quality bar, and ensure on-site delivery aligning with ecosystem

Qualifications

Bachelor degree or equivalent practical experience in UX-related fields.
8+ years of experience in UX architecture, product design, digital product management, or related roles.
Ability to translate 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 collaborating with engineering, product, marketing, and business stakeholders in globally distributed teams.
Excellent written and verbal communication with the ability to explain UX 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.