AI Technical Specialist – Sales & Client Engagement

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