AI Pre-Sales Engineer
Velents
- Cairo
- Permanent
- Full-time
- 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.
- 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.