ole Summary We are looking for an AI Technical Specialist – Pre-Sales who can combine strong technical expertise with excellent client-facing and communication skills. The role will work closely with Sales, Consulting, and Engineering teams to understand client requirements, identify relevant AI opportunities, design high-level solutions, and demonstrate how AI can address business challenges. The ideal candidate should have a strong foundation in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI, along with experience in solution architecture, technical consulting, or pre-sales. This is a client-facing role requiring the ability to translate complex AI concepts into clear business and technical propositions for both technical and non-technical stakeholders. Key Responsibilities AI Solutioning & Pre-Sales • Work closely with sales teams to understand client requirements, business challenges, and AI adoption opportunities. • Participate in client discovery sessions and technical discussions to identify suitable AI use cases. • Design and articulate high-level AI/GenAI solution architectures based on client requirements. • Develop technical approaches and solution concepts using LLMs, RAG, Agentic AI, and related technologies. • Support the preparation of RFP/RFI responses, proposals, solution documents, presentations, and statements of work. • Conduct technical presentations, solution walkthroughs, workshops, and demonstrations for prospective clients. • Explain the technical feasibility, architecture, benefits, limitations, and implementation considerations of proposed AI solutions. • Collaborate with engineering and delivery teams to validate proposed solutions and ensure they are technically viable. • Support PoCs and prototypes where required to demonstrate the value and feasibility of AI solutions. • Contribute to estimation, effort assessment, technology selection, and high-level implementation roadmaps. Generative AI & Technical Expertise • Provide technical expertise across LLMs, Generative AI, RAG, AI agents, and Agentic AI architectures. • Understand concepts such as prompt engineering, embeddings, vector databases, model selection, fine-tuning, model evaluation, guardrails, AI orchestration, and enterprise AI integration. • Understand how AI solutions can integrate with enterprise applications, APIs, databases, knowledge repositories, and existing technology environments. • Stay current with developments in GenAI platforms, models, frameworks, and enterprise AI technologies. • Evaluate different AI approaches and recommend appropriate technologies based on client requirements. Client & Stakeholder Management • Act as a technical AI advisor during client engagements and sales cycles. • Build credibility and trust with CIOs, CTOs, technology leaders, business stakeholders, and engineering teams. • Translate complex technical concepts into clear business outcomes and value propositions. • Handle technical questions and objections during client discussions. • Work effectively with sales, consulting, architecture, engineering, and delivery teams. Requirements • 10+ years of overall experience in technology, software engineering, solution architecture, technical consulting, or a related field. • 3+ years of hands-on or professional experience with AI/ML and/or Generative AI technologies, with recent experience in LLM-based solutions. • Strong practical understanding of: • Large Language Models (LLMs) • Generative AI • Retrieval-Augmented Generation (RAG) • Agentic AI / AI Agents • Prompt Engineering • Embeddings and Vector Databases • AI evaluation and responsible AI concepts • Experience designing or contributing to AI/GenAI solution architectures. • Experience working with one or more major cloud AI ecosystems such as Azure AI, AWS, or Google Cloud AI. • Experience with AI/GenAI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, or equivalent technologies is desirable. • Strong understanding of APIs, microservices, databases, cloud platforms, and enterprise application integration. • Experience in client-facing technical consulting, solutioning, or pre-sales. • Proven ability to conduct technical presentations, workshops, product/solution demonstrations, and client discussions. • Strong written and verbal communication skills with the ability to communicate with both technical and business stakeholders. • Strong analytical and problem-solving skills with the ability to convert business requirements into technical solutions. • Ability to work collaboratively with Sales, Engineering, Consulting, Architecture, and Delivery teams. Preferred / Good-to-Have • Experience supporting RFP/RFI responses and technical proposals. • Experience building or supporting AI/GenAI PoCs and demonstrations. • Experience with enterprise AI adoption and transformation initiatives. • Knowledge of AI governance, security, privacy, and responsible AI practices. • Experience with industries such as Banking, Financial Services, Healthcare, Retail, Manufacturing, or other enterprise environments. • Experience working with C-level and senior technology stakeholders. • Relevant certifications in Cloud, AI, or Solution Architecture. Education • Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related technical discipline. Key Competencies