Pre-Sales Engineer (AI Business)

Responsibilities

• Act as a trusted technical advisor to clients by understanding business challenges and proposing suitable AI-driven solutions.
• Collaborate with Sales teams to support business development, client presentations, solution demonstrations, and technical discussions.
• Translate customer requirements into AI solution concepts, architectures, and high-level implementation approaches.
• Prepare technical proposals, scope of work, solution documents, and presentation materials for enterprise and government clients.
• Support proof-of-concepts (POCs) and solution workshops.
• Work closely with AI Engineers, Data Scientists, and Product teams to design feasible and scalable AI solutions.
• Provide technical consultation on AI, machine learning, data analytics, automation, and digital transformation initiatives.
• Recommend suitable technologies, platforms, and integration approaches; support solution sizing, effort estimation, timelines, and resource planning.
• Ensure proposed solutions align with business objectives, technical feasibility, and compliance requirements.
• Build and maintain strong relationships with clients, partners, and internal stakeholders; lead requirement gatherings and technical workshops.
• Communicate complex technical concepts in a clear, business-friendly manner and coordinate handover from pre-sales to delivery teams.
• Stay updated on AI industry trends; support development of AI use cases, go-to-market strategies, and create technical collateral and demos.

Qualifications

• Bachelor’s degree in IT, Computer Science, Engineering, Business, or related fields.
• 5+ years of experience in Pre-Sales, Solution Consulting, Technical Consulting, or related roles within AI, Data, Cloud, or Digital Technology businesses.
• Proven experience supporting enterprise clients in technical solutioning and client-facing engagements.
• Experience in AI, machine learning, data analytics, or digital transformation projects is preferred.
• Experience working with enterprise or large-scale organizations is an advantage.

Skills / Required Skills

• Strong communication, presentation, and stakeholder management skills.
• Solid understanding of AI, machine learning, data analytics, and digital technologies.
• Ability to translate business requirements into technical solutions and design proposals.
• Strong problem-solving, analytical thinking, and solution design capability.
• Ability to manage multiple opportunities and work in fast-paced environments; excellent collaboration and cross-functional coordination skills.
• Strong English communication skills, both written and spoken.