AI Pre-Sales Engineer

Randstad (Schweiz) AG; Riyadh; On-site; SAR 120,000 - 180,000; Full time

Job summary

An innovative recruitment platform is seeking a Pre-Sales Engineer with AI expertise to bridge the gap between sales and clients. This role involves understanding customer challenges and designing tailored AI solutions. You'll create technical documents, deliver compelling presentations, and demonstrate AI capabilities, all while collaborating with sales and technical teams. If you're passionate about AI and enjoy educating others on its potential, this is the perfect opportunity to make a significant impact in a rapidly evolving field.

Qualifications

• 3-5+ years in pre-sales or technical consulting focusing on AI solutions.
• Hands-on experience with AI technologies and frameworks.

Responsibilities

• Design and propose AI-driven solutions tailored to client needs.
• Conduct AI solution demonstrations and educate clients on AI technologies.

Skills

AI expertise

Analytical skills

Problem-solving skills

Communication skills

Technical presentation

Education

Bachelor’s degree in Engineering

Bachelor’s degree in Computer Science

Bachelor’s degree in AI

Bachelor’s degree in Data Science

Tools

Machine learning frameworks

NLP

Computer vision

Job description

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:

• Bachelor’s degree in Engineering, Computer Science, AI, Data Science, or a related field.
• 3–5+ years in a pre-sales, solutions architect, or technical consulting role with a focus on AI or machine learning solutions.
• Hands-on experience with AI technologies, frameworks, and platforms.
• Ability to deploy opensource modules or connect to remote machines.
• Strong analytical and problem-solving skills, especially in AI solution design.
• Exceptional communication skills to explain complex AI concepts to non-technical stakeholders.
• Ability to manage high-level discussions and guide clients through AI adoption processes.