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 solid 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.

📌 AI Solutions Pre-Sales Engineer(Technical Sales) (Kolkata)
🏢 Pronix IT Solutions
📍 Kolkata