Technical Bridge for AI Adoption
3 days ago
We're Randstad (Schweiz) AG, a pioneering force in the recruitment industry, leveraging AI to revolutionize the hiring process.
Job Overview
The role of the Pre-Sales Engineer centers around AI expertise, serving as a liaison between our sales team and potential clients. This position demands in-depth knowledge of AI-driven solutions, enabling us to address customer challenges effectively.
Responsibilities
- Foster collaboration with the sales team to identify and grasp customer challenges that can be resolved using AI technologies.
- Develop and propose AI-driven solutions tailored to client needs, encompassing predictive analytics, machine learning models, AI-powered automation, and data insights.
- Produce and deliver technical architecture documents, detailing AI workflows, data pipelines, and integration strategies.
- Present AI solution demonstrations, showcasing features like machine learning capabilities, data visualization, and automated decision-making processes.
- Serve as a trusted advisor, educating clients on AI technologies, their applications, and ROI benefits.
- Address technical queries regarding AI implementation, data requirements, scalability, and customization options.
- Support in crafting detailed technical proposals, focusing on AI-centric projects.
- Respond to RFPs/RFIs emphasizing AI-driven functionalities and implementation strategies.
- Maintain close ties with data scientists, AI engineers, and software developers to ensure proposed AI solutions are practical and scalable.
- Offer feedback to AI product teams based on client needs and market trends.
- Provide training to internal teams and clients on AI concepts, tools, and solution workflows.
Requirements:
- Bachelor's degree in Engineering, Computer Science, AI, Data Science, or a related field.
- Minimum 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 open-source modules or connect to remote machines.
- Strong analytical and problem-solving skills, particularly in AI solution design.
- Excellent communication skills to explain complex AI concepts to non-technical stakeholders.
- Capacity to handle high-level discussions and guide clients through AI adoption processes.
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