AI Sales Solutions Consultant

Job Summary The AI Sales Solutions Consultant is responsible for driving business growth by identifying client needs, recommending AI-powered solutions,and managing the end-to-end sales consulting process. This role combines technical understanding, consultative selling, solution design, and client relationship management to help organizations leverage Artificial Intelligence for improved productivity, automation, customer engagement, and business transformation. The ideal candidate possesses strong business acumen, excellent communication skills, and a solid understanding of AI technologies,including Generative AI, Machine Learning, Intelligent Automation,Conversational AI, and Data Analytics. Key Responsibilities 1. Business Development & Lead Generation • Identify and develop new business opportunities across target industries. • Build and maintain a healthy sales pipeline. • Conduct market research to identify emerging AI opportunities. • Develop strategic relationships with decision-makers and C-level executives. • Attend networking events, seminars, exhibitions, and industry conferences. • Generate qualified leads through outbound and inbound sales activities. 2. Consultative Sales • Meet prospective clients to understand their business challenges. • Conduct discovery workshops and requirement-gathering sessions. • Identify operational inefficiencies suitable for AI implementation. • Recommend AI solutions aligned with clients' business objectives. • Present AI transformation roadmaps and business cases. • Position AI as a strategic business enabler rather than just a technology solution. 3. AI Solution Design Collaborate with technical teams to design solutions involving: • Translate business requirements into functional AI solution proposals. 4. Product Demonstrations • Conduct product presentations and live demonstrations. • Coordinate and initiate Proof of Concepts (POCs). • Explain technical concepts in simple business language. • Demonstrate AI capabilities and expected ROI. • Address customer questions regarding security, scalability, and implementation. 5. Proposal Development • Prepare customized proposals. • Develop solution architecture with technical teams. • Prepare Statements of Work (SOW). • Develop pricing strategies. • Create ROI and cost-benefit analyses. • Respond to RFPs and RFQs. 6. Sales Cycle Management Manage the complete sales lifecycle: • Lead qualification • Discovery • Solution presentation • Proposal preparation • Negotiation • Contract closure • Client onboarding • Handover to delivery teams • Maintain CRM records and accurate sales forecasts. 7. Client Relationship Management • Build long-term relationships with clients. • Serve as a trusted AI advisor. • Identify upselling and cross-selling opportunities. • Conduct quarterly business reviews. • Ensure high customer satisfaction. 8. Collaboration Work closely with: • AI Engineers • Data Scientists • Solution Architects • Project Managers • Product Teams • Marketing • Customer Success • Technical Support • Ensure proposed solutions are technically feasible and commercially viable. 9. Industry Expertise Stay current on developments in: • Artificial Intelligence • Generative AI • Large Language Models (LLMs) • Cloud AI Platforms • Microsoft Copilot • OpenAI • Google Gemini • Anthropic Claude • AI Governance • AI Security • Data Privacy Regulations • Monitor competitors and emerging market trends. Required Qualifications Education • Bachelor's degree in Business, Computer Science, Information Technology, Engineering, or a related field. • MBA is an advantage. Experience • 3–7 years of experience in consultative B2B technology sales. • Experience selling AI, SaaS, cloud, or enterprise software solutions. • Proven track record of achieving sales targets. • Experience managing enterprise accounts. Technical Knowledge Good understanding of: • Artificial Intelligence • Generative AI • Machine Learning • Microsoft Copilot • ChatGPT and OpenAI technologies • Azure AI Services • Google Cloud AI • AWS AI Services • APIs and system integrations • CRM systems (Salesforce, HubSpot, Zoho, etc.) • Data analytics and business intelligence tools