AI Subject Matter Expert

Responsibilities

Serve as the authority on AI, GenAI, agentic AI and machine-learning concepts for all programme content.

Review and validate the technical accuracy of AI-domain content — AI-product launches, responsible/ethical AI, and safe-use messaging.

Advise on AI-literacy modules and awareness measures, and co-design related survey/assessment items under Segment 3.

Support executive briefings and AI-product-launch communications with subject-matter credibility.

Guide the communications team on responsible-AI messaging, including bias, hallucination and privacy-conscious usage.

Interpret AI-adoption signals with the adoption analyst and recommend content or intervention adjustments.

Requirements

7–11 years in AI / machine learning, data science or applied AI, with recent GenAI / agentic-AI exposure.

Experience advising or enabling AI adoption in an enterprise setting preferred.

Awareness of responsible-AI and AI-governance practices.

AI, GenAI and agentic AI concepts; machine-learning fundamentals.

Responsible and ethical AI; AI product adoption and safe-use practices.

AI-literacy content and awareness-measure design.

Translating AI concepts for business audiences; stakeholder advisory.

An AI/ML certification (e.g., Azure AI, Google Professional GenAI/ML, NVIDIA AI) — preferred.

Language: English (fluent).