Presales Consultant, Applied AI

This is a customer-facing role that guides enterprise buyers from first conversation to a validated AI solution. It asks for seven or more years in presales or consulting, a solid grasp of LLMs, NLP and retrieval based systems, and the ability to explain them to both executives and engineers. A strong candidate has led RFP responses, can turn vague business problems into clear plans, and speaks Arabic fluently.

AI tools can speed up drafting proposals, building demos and summarizing customer data, so presales people can test ideas faster. What stays human is earning trust with senior stakeholders, judging which use cases are worth pursuing, and being honest about what AI can and cannot do. In regulated settings, that judgment and credibility matter even more.

The role offers close, hands-on exposure to how enterprise AI is sold and adopted in areas like financial crime prevention and knowledge intelligence. Running demos, workshops and proofs of concept builds real fluency in what works in practice. To prepare, build small retrieval based demos on sample documents and practice explaining their limits and business value in plain language.

• Presales or solutions consulting record
• RFP and RFI leadership
• LLM and RAG fluency
• Fluent Arabic and English

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

Per the company, Mozn builds enterprise AI for high-assurance domains such as financial crime prevention and knowledge intelligence.