Head AI Pre Sales

Role & responsibilities

1. Pre-Sales Strategy & Execution

• Lead the AI Pre-Sales function, from opportunity identification to solutioning, proposal development, and client presentations.
• Collaborate with sales teams to uncover AI opportunities in existing accounts and new pursuits.
• Translate client business requirements into tailored AI-driven solutions with clear ROI and value articulation.

2. Client Engagement & Business Growth

• Act as a trusted advisor and AI subject matter expert in client meetings, workshops, and industry forums.
• Build strong CXO-level relationships to position the company as a strategic AI partner.
• Customize solutions to address sector-specific challenges in BFSI, Healthcare, Retail, Manufacturing, Telecom, and IT Services.

3. Solution Design & Proposal Development

• Work with data scientists, engineers, and architects to design scalable and secure AI/ML architectures.

• Drive proposal creation including RFP responses, solution blueprints, business case modeling, and proof-of-concept plans.

• Ensure alignment of proposals with both client needs and organizational delivery capabilities.

4.Team Leadership & Enablement

• Build, coach, and mentor a high-performing AI pre-sales team.

• Enable sales and delivery teams with AI-focused training, playbooks, and case studies.

• Foster collaboration across sales, product, and delivery teams to ensure seamless execution.

5. Market Intelligence & Differentiation

• Stay ahead of AI market trends, competitor offerings, and emerging technologies

. • Recommend innovative approaches to differentiate the companys AI value proposition.

• Represent the company at leading conferences, client events, and industry webinars.

Preferred candidate profile

• Bachelors or Masters in Computer Science, Data Science, AI/ML, or related field.
• 10+ years of experience in AI/ML roles, with at least 4–5 years in pre-sales, consulting, or solution architecture.
• Demonstrated success in designing and pitching AI-led solutions to enterprise clients.
• Strong knowledge of AI/ML platforms (TensorFlow, PyTorch, Hugging Face), cloud services (AWS, Azure, GCP), and enterprise data ecosystems.
• Excellent communication, executive presentation, and stakeholder management skills.
• Experience in Indian IT services or global consulting firms.
• Deep understanding of industry-specific AI use cases across BFSI, Healthcare, Manufacturing, and Telecom.
• Familiarity with pricing models, deal structuring, and ROI-based proposal building.
• Exposure to GenAI, NLP, computer vision, and conversational AI solutions.