We are seeking a Senior AI Pre-Sales Leader to build, position, and scale our AI business. This role sits at the intersection of technology, business, and sales, and is critical to transforming AI capabilities into real, monetizable business outcomes. The ideal candidate is someone who can identify high-impact AI use cases, translate business problems into AI-driven solutions, and work closely with sales, partners, and customers to grow AI revenue and pipeline. This role requires deep hands-on understanding of AI technologies, combined with strong consultative and storytelling skills. Key Responsibilities 1. AI Use Case Discovery & Value Engineering • Work closely with customers to understand business challenges and operational pain points • Identify, define, and prioritize AI use cases across industries such as: o Government & Smart Cities o Cybersecurity o Oil & Gas & Utilities o Banking & Financial Services o Healthcare o Transportation & Logistics • Articulate business value, ROI, efficiency gains, and risk reduction through AI adoption • Develop AI roadmaps and transformation journeys for customers 2. AI Solution Architecture & Pre-Sales Leadership • Design end-to-end AI solutions aligned to customer requirements, covering: o Data ingestion and preparation o Model training and inference o Deployment (on-prem, edge, hybrid, sovereign cloud) o Security, governance, and lifecycle management • Lead technical pre-sales engagements, including: o Solution workshops o Architecture design sessions o RFP / proposal responses o Proof of Concepts (PoCs) and demos • Act as the primary AI technical authority during customer interactions 3. AI Technology Expertise Hands-on and conceptual expertise across: • Machine Learning & Deep Learning o Supervised, unsupervised, reinforcement learning o Model training, evaluation, tuning, and deployment • Large Language Models (LLMs) o Open-source and commercial LLMs o Prompt engineering o Fine-tuning vs. foundation models • Retrieval Augmented Generation (RAG) o Vector databases o Embeddings o Knowledge grounding and enterprise data integration • Computer Vision / Vision AI o Image and video analytics o Object detection, facial recognition, anomaly detection • Edge AI o Low-latency inference o AI at the edge for IoT, cameras, sensors • AI Platforms & MLOps o Model lifecycle management o Monitoring, drift detection, retraining o CI/CD for AI 4. Go-To-Market & AI Business Growth • Work closely with sales leadership to build and grow AI pipeline • Support opportunity qualification, solution positioning, and deal closures • Define AI offerings, reference architectures, and solution bundles • Build industry-specific AI propositions and accelerators • Support pricing strategies and commercial models for AI solutions 5. Partner & Ecosystem Engagement • Work with AI technology partners, hyperscalers, ISVs, and OEMs • Align partner solutions into customer architectures • Support joint GTM activities, demos, and PoCs • Stay abreast of emerging AI technologies and market trends 6. Thought Leadership & Internal Enablement • Act as an internal AI evangelist • Enable sales teams through: o Training sessions o AI playbooks o Use-case catalogs • Contribute to whitepapers, presentations, and executive briefings • Mentor junior pre-sales and solution architects Success Metrics • Growth of AI opportunity pipeline • Win rate of AI-related deals • Quality and relevance of AI use cases delivered • Customer satisfaction and repeat engagements • Strategic positioning of AI within key accounts Required Skills & Experience • Bachelor’s or Master’s degree in Engineering, Computer Science, AI, or related field • 12–18+ years of overall experience, with significant exposure to AI / data platforms • Proven experience in Pre-Sales, Solution Architecture, or Technical Consulting • Strong understanding of: o Machine Learning & Deep Learning o LLMs and Generative AI o RAG architectures o Edge AI and Vision AI • Ability to translate complex AI concepts into business language • Experience engaging with CXOs, senior government officials, and enterprise decision-makers • Experience in sovereign / on-prem AI deployments • Exposure to regulated environments (government, defense, BFSI) • Knowledge of AI frameworks and platforms (e.g., TensorFlow, PyTorch, LangChain, vector DBs) • Experience working with GPU platforms and AI infrastructure • Prior experience building AI CoEs or AI practices • Strong consultative mindset • Excellent presentation and storytelling skills • Strategic thinker with execution focus • High ownership and accountability • Comfortable operating in ambiguity and fast-evolving AI landscapes