Job Summary: The Head of Presales – AI Solutions leads the technical sales strategy and solutioning efforts for AI-driven offerings across industry verticals. This role is responsible for leading a team of solution architects and presales engineers to articulate the value of AI/ML technologies to clients, develop winning proposals, and support the sales lifecycle from qualification to closure. Key Responsibilities: Leadership & Strategy Define and drive the presales strategy for AI/ML solutions across geographies and verticals. Build and lead a high-performing presales team comprising AI solution architects, data scientists, and technical consultants. Collaborate with product, engineering, and marketing to align go-to-market strategies with customer needs. Client Engagement Engage with C-level executives and business stakeholders to understand business challenges and translate them into AI-driven opportunities. Conduct discovery sessions, workshops, and technical deep-dives to shape client requirements. Solutioning & Proposal Support Oversee the design and development of AI/ML solution architectures, prototypes, and demos tailored to client needs. Manage RFP/RFI responses, technical proposals, and solution presentations. Ensure alignment of proposed solutions with client goals, budget, and timelines. Sales Enablement Train and support sales teams with product/solution knowledge, value propositions, and competitive positioning. Drive technical win strategies and collaborate on deal closure activities. Need do to Business Development. Innovation & Market Intelligence Stay abreast of the latest AI/ML technologies, frameworks, and competitive landscape. Collaborate with innovation and delivery teams to package repeatable AI offerings and accelerators. Key Requirements: Education & Experience Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 15+ years of experience in presales or solution consulting in IT, with at least 5 years in AI/ML or data science domains. Proven experience in leading large presales or solutions teams in enterprise sales cycles. Technical Skills Strong understanding of AI/ML concepts, model lifecycle (MLOps), data engineering, and cloud AI services (Azure AI, AWS SageMaker, Google Vertex AI). Experience with frameworks like TensorFlow, PyTorch, Hugging Face, and LLMs (e.g., OpenAI, Cohere, Anthropic). Familiarity with data platforms, APIs, and enterprise architectures. Expertise in solution architecture and design documentation, including: High-Level Design (HLD) and Low-Level Design (LLD) Capable of conducting proof-of-concepts (PoCs) and technical demonstrations Skilled in working with OEMs and managing joint solution development Knowledge of and relationship with OEMs Proven ability to deliver business-aligned technology solutions for diverse industry use cases Soft Skills Excellent presentation and communication skills, especially in translating technical content into business outcomes. Strategic thinking, problem-solving ability, and strong business acumen. Collaborative leadership style with stakeholder management and team-building capabilities. People Management Proven team leadership and mentoring experience, especially in pre-sales and solutioning Ability to motivate cross-functional teams and foster a collaborative work environment Skilled in performance management, goal setting, and team development Capable of building scalable solutioning teams and driving accountability KPIs / Success Metrics: Presales win ratio and contribution to revenue growth Deal conversion rate from solution qualification Time-to-proposal and solution turnaround time Client satisfaction scores from presales engagements Team competency growth and retention Show more Show less