Senior AI Ecosystem Intelligence & Automation Architect

Intel
Penang
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Cross-functional collaboration","Requirements definition","Ability to translate business needs into technical specs","Operational execution focus"]

Design and operationalize AI-enabled capabilities that turn ecosystem program activity into trusted operational intelligence. Own information architecture, metadata/taxonomy, and AI-ready data extraction and normalization, enabling AI-assisted search, recommendations, and chatbot-supported discovery. Build intake/validation automation, customer satisfaction insights, and operational dashboards to improve scalability, accuracy, and measurable program execution across ecosystem onboarding, qualification, catalog operations, and partner engagement.

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FursaFursa
Intel
Intel
2 days ago

Senior AI Ecosystem Intelligence & Automation Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Design and operationalize AI-enabled capabilities that turn ecosystem program activity into trusted operational intelligence. Own information architecture, metadata/taxonomy, and AI-ready data extraction and normalization, enabling AI-assisted search, recommendations, and chatbot-supported discovery. Build intake/validation automation, customer satisfaction insights, and operational dashboards to improve scalability, accuracy, and measurable program execution across ecosystem onboarding, qualification, catalog operations, and partner engagement.
Location: Penang
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design and operationalize AI-enabled capabilities that improve scalability, accuracy, discoverability, reporting, and operational efficiency for Intel Edge AI and Robotics ecosystem programs.
  • •Create AI-enabled operational workflows for automated intake, onboarding, validation, status collection, content classification, and reporting preparation.
  • •Define ecosystem data and metadata requirements to support search, filtering, recommendations, customer discovery, internal reporting, and AI-assisted workflows.
  • •Architect data extraction and normalization approaches for partner, program, catalog, qualification, and engagement data to produce usable ecosystem intelligence.
  • •Build operational reporting requirements and dashboards for ecosystem engagement, customer satisfaction, onboarding health, qualification status, content quality, and program execution visibility.

Key Requirements

  • •Bachelor degree or equivalent practical experience in computer science, information systems, AI/ML, data analytics, digital platforms, product operations, or a related field.
  • •3+ years in AI-enabled platforms, data architecture, automation, analytics, enterprise search, reporting, digital operations, or technical program enablement.
  • •Experience defining requirements for data extraction, metadata, reporting, dashboards, search, analytics, workflow automation, or AI-enabled digital capabilities.
  • •Ability to translate business/program needs into technical requirements, acceptance criteria, and implementation-ready specifications.
  • •Strong written and verbal communication skills to explain AI, data, automation, and reporting concepts to non-specialist stakeholders.
Experience:3+ yearsAI-enabled platformsData architectureEnterprise searchReportingDigital operationsWorkflow automationAnalytics
Education:Bachelor's
Skills:CommunicationCross-functional collaborationRequirements definitionAbility to translate business needs into technical specsOperational execution focus
Tech Stack:AIData architectureMetadataTaxonomyEnterprise searchAnalyticsAutomationRAGChatbotsRecommendation systemsDashboardsData extractionNormalizationWorkflow automationAgentic process automationData governanceKnowledge managementStructured contentContent classification

Company Brief

Intel
Designs and manufactures semiconductor chips, processors, and related hardware for PCs, data centers, networking, and embedded applications, while providing software and services to accelerate computing across industries globally.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1968
Glassdoor
Glassdoor: 3.8
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