AI Solutions Pre-Sales Engineer(Technical Sales)

Job highlights

• Minimum 5 years of experience in a client-facing role such as sales engineer,pre-sales,or solution architect
• Demonstrated experience in supporting the sales cycle within a technology company
• . Hands-on experience with no-code / low-code AI platforms,AI applications or machine learning technologies,particularly with LLMs
• Minimum 5 years of experience in a client-facing role such as sales engineer, pre-sales, or solution architect.
• Demonstrated experience in supporting the sales cycle within a technology company.
• Expertise in AI chatbots, Conversational AI, Generative AI, AI automation, or contact center technologies (e.g., CCAAS, IVR, ITR).
• Hands-on experience with no-code/low-code AI platforms, AI applications or machine learning technologies, particularly with LLMs.
• Develop AI applications for custom demos tailored to client business requirements and use cases.
• Strong technical background with experience in sales engineering or web development.
• Ability to quickly learn and adapt to new technologies, patterns, and domains.
• Proven problem-solving skills with the ability to craft clear and effective solutions to complex client challenges.
• Proficiency in programming languages such as Python, Java, JavaScript, and Linux shell scripting.
• Excellent communication skills to articulate technical capabilities to business stakeholders and business requirements to technical teams.
• Experience with RPA (Robotic Process Automation) or process automation tools.

Responsibilities

• Clearly communicate Pronix Inc.s unique value proposition and technology differentiation.
• Demonstrate features of the AI platform, including automation capabilities, LLM integrations, and pre-built solutions.
• Design and present tailored whiteboard solutions, addressing architecture, performance, and scalability requirements.
• Collaborate with technical architects, data scientists, and NLU analysts at client organizations to present our platform and solutions effectively.
• Facilitate use case workshops to identify and develop client-specific AI applications.
• Analyze conversational UX use cases for feasibility and potential value creation for clients.
• Estimate effort and resource requirements from a machine learning perspective for specific engagements.
• Provide strategic input to product management for enhancing the product roadmap and features.
• Support seamless transitions from sales to delivery by coordinating with delivery teams to ensure customer success.
• Build and maintain strong relationships with client technical teams.
• Act as a technical resource and solutions consultant for the sales team in pursuing business opportunities.
• Develop and present AI business automation and AI agent development use cases aligned with client needs.
• Lead client solution discovery meetings to identify pain points and propose tailored AI solutions.
• Conduct solution architecture walkthroughs to ensure alignment with client objectives.
• Showcase AI platform capabilities through custom demos and solution integrations based on specific client use cases.
• Oversee AI solution integrations with client systems and platforms, ensuring seamless implementation.
• Develop custom demos leveraging no-code/low-code AI platforms for client-specific use cases and system integrations.
• Develop AI applications for custom demos tailored to client business requirements and use cases.