AI Technical Consultant
3 days ago
In this pivotal role, the Pre-Sales Engineer will be instrumental in driving our AI initiatives forward.
Job Description
As a key member of our team, you will leverage your AI expertise to educate clients on AI-driven solutions, design tailored AI-powered solutions, and deliver compelling technical presentations and demonstrations.
Main Responsibilities
- Stay informed about the latest developments in AI, ensuring our clients receive cutting-edge solutions.
- Collaborate with the sales team to identify and address customer challenges using AI technologies.
- Design and propose AI-driven solutions tailored to client needs, including predictive analytics, machine learning models, AI-powered automation, and data insights.
- Deliver technical architecture documents, detailing AI workflows, data pipelines, and integration strategies.
- Presentation of 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 applications, and ROI benefits.
- Address technical queries regarding AI implementation, data requirements, scalability, and customization options.
- Support in creating detailed technical proposals, focusing on AI-centric projects.
- Respond to RFPs/RFIs emphasizing AI-driven functionalities and implementation strategies.
- Maintain strong ties with data scientists, AI engineers, and software developers to ensure proposed AI solutions are practical and scalable.
- Provide feedback to AI product teams based on client needs and market trends.
- Deliver training to internal teams and clients on AI concepts, tools, and solution workflows.
Necessary 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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