AI Communications SME: GenAI & Responsible AI Expert

Inbox Business Technologies

Riyadh

On-site

SAR 320,000 - 520,000

Full time

5 days ago
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Job summary

Inbox Business Technologies is seeking an experienced AI Subject Matter Expert (SME) to provide AI-domain expertise across communications content, product launches and AI-literacy measures. The role ensures technical accuracy, responsible messaging and credible guidance for executives and teams.

The SME will translate complex AI concepts into business-friendly language, advise on governance, bias, privacy, and support adoption across enterprise contexts with strong stakeholder engagement.

Qualifications

  • 7–11 years in AI/ML or data science with GenAI exposure.
  • Experience advising AI adoption in an enterprise setting.
  • Awareness of responsible AI and AI-governance practices.
  • Fluent English language required.

Responsibilities

  • Serve as the authority on AI, GenAI, agentic AI for all programme content.
  • Review and validate the technical accuracy of AI-domain content — product launches, responsible AI, safe-use messaging.
  • Advise on AI-literacy modules and awareness measures, and co-design survey items with Segment 3.
  • Support executive briefings and AI-product-launch communications with subject-matter credibility.
  • Guide Communications 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.

Skills

AI concepts
GenAI
Agentic AI
Stakeholder advisory
Ethical AI
Content review
Governance awareness
English fluency

Education

AI certification (Azure/Google/NVIDIA)

Job description

Inbox Business Technologies is seeking an experienced AI Subject Matter Expert (SME) to provide AI-domain expertise across communications content, product launches and AI-literacy measures. The role ensures technical accuracy, responsible messaging and credible guidance for executives and teams.

The SME will translate complex AI concepts into business-friendly language, advise on governance, bias, privacy, and support adoption across enterprise contexts with strong stakeholder engagement.

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