AI-Driven Ecosystem Intelligence & Automation Lead

Intel Corporation; Malaysia; On-site; MYR 180,000 - 240,000; Full time

Job summary

Intel Corporation in Penang, Malaysia, is seeking a Senior AI Ecosystem Intelligence & Automation Architect to design and operationalize AI-enabled capabilities that improve scalability, accuracy, and automated workflows across ecosystem programs.

The role uses AI, data architecture, metadata, data extraction, analytics, and automation to turn ecosystem program activity into trusted operational intelligence and repeatable workflows.

Qualifications

• 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 of experience in AI-enabled platforms, data architecture, automation, analytics, enterprise search, reporting, digital operations, or technical program enablement.
• Strong understanding of how AI, metadata, analytics, and automated workflows can improve operational scale and customer experience.
• Experience translating business and program needs into technical requirements, acceptance criteria, and implementation-ready specifications.
• Ability to work across program managers, UX/product owners, engineering teams, and business stakeholders while maintaining an operational execution focus.

Responsibilities

• Focus on information architecture, metadata, taxonomy, search optimization, knowledge management, and AI/RAG readiness to support the organization’s AI-driven discovery and ecosystem platform strategy.
• Design AI-enabled operational capabilities that automate manual ecosystem program workflows, including intake, onboarding, validation, status collection, content classification, and reporting preparation.
• Define ecosystem data and metadata requirements that support accurate search, filtering, recommendations, customer-facing discovery, internal reporting, and AI-assisted workflows.
• Architect data extraction and normalization approaches that convert partner, program, catalog, qualification, and engagement data into usable ecosystem intelligence.
• Develop requirements for AI-powered search, recommendations, chatbot assistance, RAG-ready content structures, guided workflows, and agentic process automation.
• Create operational reporting requirements and dashboards for ecosystem engagement, customer satisfaction, onboarding health, qualification status, content quality, and program execution visibility.
• Identify opportunities to use AI to reduce manual effort, eliminate repeat work, improve data quality, accelerate customer response, and scale ecosystem program operations.
• Partner with UX, program operations, ecosystem strategy, and development teams to ensure AI-enabled operational capabilities are grounded in real user journeys and program execution needs.
• Work with development teams to translate AI, automation, data, and reporting requirements into buildable specifications, acceptance criteria, and quality expectations.
• Establish data quality checks, automation rules, and operational feedback loops that keep ecosystem information correct, current, searchable, and decision-ready.
• Analyze customer engagement, search behavior, satisfaction signals, and operational process data to recommend improvements to ecosystem experiences and workflows.

Skills

AI-enabled platforms

Data architecture

Automation

Analytics

Enterprise search

Reporting

Digital operations

Technical program enablement

Education

Bachelor degree or equivalent in CS/IS/AI-ML/data analytics/digital platforms

Tools

Workflow automation tools

Analytics platforms

Content management systems

Job description

Intel Corporation in Penang, Malaysia, is seeking a Senior AI Ecosystem Intelligence & Automation Architect to design and operationalize AI-enabled capabilities that improve scalability, accuracy, and automated workflows across ecosystem programs.

The role uses AI, data architecture, metadata, data extraction, analytics, and automation to turn ecosystem program activity into trusted operational intelligence and repeatable workflows.