Senior AI Ecosystem Operations Architect

Intel

Seberang Perai

On-site

MYR 180,000 - 300,000

Full time

4 days ago

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Job summary

Intel in Malaysia seeks a Senior AI Ecosystem Intelligence & Automation Architect to design and operationalize AI-enabled capabilities that scale, improve accuracy, and automate ecosystem programs across discovery, onboarding, qualification, catalog operations, partner engagement, and reporting.

You will shape data architecture, metadata, and AI-assisted workflows to deliver trusted intelligence and repeatable processes.

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.
Experience defining requirements for data extraction, metadata, reporting, dashboards, search, analytics, workflow automation, or AI-enabled digital capabilities.
Strong understanding of how AI, structured data, taxonomy, metadata, analytics, and automated workflows can improve operational sc

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.