We are seeking a Senior Pre-Sales Engineer to serve as the technical backbone of our enterprise sales efforts. You will partner closely with Account Executives to drive complex, high-value AI opportunities from qualification through to close – translating capabilities into compelling, customer-specific solutions. Act as the technical lead throughout the sales cycle, partnering with Account Executives to drive enterprise opportunities from qualification to close.

Develop and maintain a strong perspective on how AI – including large language models, agentic architectures, and RAG-based solutions – can drive measurable business value across verticals and functions.

Deliver compelling technical presentations and demos showcasing GenAI, Agentic AI, RAG, and LLM-based capabilities tailored to each prospect's context.

Translate business requirements into AI solution architectures that leverage Uniphore's capabilities, collaborating closely with product and engineering teams.

Advise clients on AI adoption strategies, integration with multi-modal data platforms, and industry best practices.

Share market intelligence and competitive insights with the wider team to sharpen our regional go-to-market approach.

Minimum 10 years of experience in pre-sales, solution engineering, or technical consulting – preferably within enterprise SaaS, AI, or automation platforms.

Hands-on understanding of AI concepts including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG),



prompt engineering, Agentic AI architectures, AI security and governance, and ethical AI.

Experience designing or selling AI platforms, data orchestration, or enterprise automation solutions.

Demonstrated expertise in major cloud platforms (AWS, Azure, or GCP), including core services such as compute, storage, networking, and serverless functions, particularly as they relate to deploying and scaling enterprise AI and SaaS solutions.

Practical experience with API integration and security: designing, integrating, and securing API connections between AI platforms and business applications (e.g., CRM, ERP, data warehouses), with knowledge of protocols (REST, GraphQL) and authentication mechanisms (OAuth 2.0, API keys).

Data and network architecture acumen – ability to discuss and propose solutions around data governance, network segmentation, and enterprise security when deploying cloud-native or hybrid AI solutions.

Strong ability to explain complex technical concepts to both technical and non-technical audiences, from technicians to C-suite executives.

Proven track record supporting enterprise sales cycles and contributing to the close of large, multi-stakeholder deals.

Familiarity with one or more of priority sectors – banking and financial services, media and telecom, retail and CPG, government, or energy and utilities – is a robust advantage.

Ability to travel as needed for client engagements.

📌 Senior Sales Engineering (Bengaluru)
🏢 Nameless
📍 Bengaluru