AI Pre-Sales Engineer

About Velents

Velents is an AI-powered recruitment platform that automates the hiring process from candidate screening to assessment, including AI video interviews, skill evaluations, and data-driven decisions. Trusted by strategic ministries in KSA .

Job Role

The Pre-Sales Engineer with AI expertise acts as a technical bridge between the sales team and potential clients, providing in-depth technical knowledge and expertise in AI-driven solutions. This role involves understanding customer challenges, designing tailored AI-powered solutions, and delivering compelling technical presentations and demonstrations.

Key Responsibilities

• Non-stop learning, daily reading about the new updates in the AI field
• Collaborate with the sales team to identify and understand customer challenges that can be addressed using AI technologies.
• Design and propose AI-driven technical solutions tailored to client needs, such as predictive analytics, machine learning models, AI-powered automation, and data insights.
• Create and deliver technical architecture documents, including AI workflows, data pipelines, and integration strategies.
• Conduct AI solution demonstrations, highlighting features like machine learning capabilities, data visualization, and automated decision-making processes.
• Act as a trusted advisor, educating clients on AI technologies, their potential applications, and ROI benefits.
• Address technical queries about AI implementation, data requirements, scalability, and customization options.
• Assist in preparing detailed technical proposals, particularly for AI-focused projects.
• Respond to RFPs / RFIs with an emphasis on AI-driven functionalities and implementation strategies.
• Work closely with data scientists, AI engineers, and software developers to ensure proposed AI solutions are feasible and scalable.
• Provide feedback to AI product teams based on client requirements and emerging market trends.
• Deliver training to internal teams and clients on AI concepts, tools, and solution workflows.
• Maintain up-to-date knowledge of the latest AI trends, technologies, and tools (e.g., machine learning frameworks, NLP, computer vision).
• Collaborate with AI development and implementation teams to ensure smooth deployment of AI solutions.
• Support the transition by providing technical documentation, including datasets, model training notes, and integration guides.

Qualifications :