AI Sales Engineer

Role Overview

We are looking for an AI Sales Engineer to drive the adoption of our AI solutions by bridging customer business needs with our technical capabilities.

This role combines consultative sales, solution engineering, and AI technical expertise. You will work closely with prospective and existing customers to understand their business challenges, identify opportunities where AI can create measurable value, and design and demonstrate solutions that address those needs.

You will partner with the Sales, Product, Engineering, and AI teams throughout the sales cycle—from discovery and solution design to demonstrations, proof-of-concepts (POCs), proposals, and technical handover.

Key Responsibilities

Pre-Sales & Solution Consulting

• Engage customers to understand their business processes, pain points, objectives, and technical environment.
• Identify opportunities where AI, automation, data analytics, or intelligent applications can deliver business value.
• Translate business requirements into practical AI solution concepts and technical requirements.
• Design high-level AI solution architectures together with internal technical teams.
• Recommend suitable AI technologies, models, platforms, integrations, and implementation approaches.
• Conduct solution presentations, product demonstrations, workshops, and technical discovery sessions.
• Develop and deliver compelling Proof-of-Concepts (POCs) and prototypes where required.

Sales & Business Development

• Partner with the Sales team throughout the end-to-end sales cycle.
• Articulate the business value, technical capabilities, differentiation, and potential ROI of our AI solutions.
• Support customer presentations, proposals, tenders/RFPs, quotations, and solution documentation.
• Address technical questions and objections from customers and key stakeholders.
• Build trusted relationships with customer stakeholders across business, IT, digital transformation, and senior management.
• Contribute to achieving revenue, pipeline, and solution adoption targets.
• Identify opportunities for upselling, cross-selling, and expanding AI solutions within existing customers.

AI Solution Design

• Understand and communicate AI concepts including Generative AI, Large Language Models (LLMs), AI agents, Machine Learning, Natural Language Processing, Computer Vision, and intelligent automation.
• Design AI use cases such as AI assistants, enterprise knowledge search, document processing, workflow automation, predictive analytics, customer service automation, and AI agents.
• Work with technical teams to assess solution feasibility, integration requirements, security considerations, infrastructure requirements, and implementation effort.
• Assist in defining project scope, deliverables, assumptions, timelines, and technical dependencies.
• Ensure proposed solutions are realistic, scalable, secure, and aligned with customer requirements.

Market & Product Development

• Stay current with developments in Generative AI, LLMs, AI agents, cloud AI platforms, and emerging enterprise AI technologies.
• Gather customer feedback and market intelligence to help improve our AI products and solutions.
• Identify new industry use cases and opportunities that can be developed into repeatable AI solutions.
• Support the development of sales materials, solution decks, case studies, demos, and technical documentation.
• Share market and customer insights with Product and Engineering teams.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, AI, or a related field.
• Approximately 3–7 years of experience in Sales Engineering, Pre-Sales, Solution Consulting, Solution Architecture, AI/ML, software solutions, or a related technology role.
• Good understanding of AI and modern enterprise technology solutions.
• Familiarity with Generative AI, LLMs, RAG, AI agents, Machine Learning, APIs, cloud platforms, databases, and system integrations.
• Ability to understand customer business requirements and translate them into technical solutions.
• Strong presentation, communication, demonstration, and stakeholder-management skills.
• Comfortable presenting technical concepts to both technical and non-technical audiences.
• Commercial mindset with the ability to connect technology capabilities to customer outcomes and business value.
• Ability to work collaboratively with Sales, Product, Engineering, and Project teams.

Preferred Qualifications

Experience in one or more of the following would be advantageous:

• Generative AI / Large Language Models
• AI Agents and Agentic AI
• Retrieval-Augmented Generation (RAG)
• Machine Learning / Data Analytics
• Cloud platforms such as Azure, AWS, or Google Cloud
• APIs and enterprise system integrations
• CRM, ERP, HR, customer service, or enterprise automation solutions
• Python, SQL, or other programming/scripting languages
• AI solution prototyping and POC development
• Enterprise software or SaaS solution selling