🎯 Role Overview

A strategic yet hands-on architecture role responsible for connecting client business needs with feasible GenAI architectures. Drives technical pre-sales and PoCs while enabling internal engineering teams to adopt AI-assisted development practices.

📋 Key Responsibilities

• Client Architecture & Discovery: Lead client workshops to evaluate GenAI use cases. Design secure, scalable, and cost-effective architectures using LLMs, RAG, agents, and cloud infrastructure.

• Technical Ownership & Pre-Sales: Build or guide PoCs, review code/designs, and support technical proposals, scoping, and estimation for prospective clients.

• AI Enablement & Standards: Coach engineering teams on AI-assisted coding tools, evaluation methods, and reusable workflows. Establish reference architectures and governance frameworks across project teams.

🎯 Requirements

• Experience: 6+ years in software engineering, solution architecture, or related roles with recent hands-on GenAI experience. Must have personally built and delivered at least one LLM, RAG, or agent application beyond the prototype phase.

• Technical Breadth: Practical knowledge of RAG, vector search, agentic workflows, model selection, cloud architectures, APIs, CI/CD, and system trade-offs (cost, latency, security).

• AI-Assisted Engineering: Hands-on experience with AI coding tools and the ability to train/coach developers.

• Client-Facing Skills: Excellent English communication, facilitation, and presentation skills; adept at converting ambiguous client needs into clear delivery plans.