Generative AI Expertise: Deep knowledge of the LLM ecosystem (GPT, Claude, Gemini) and prompt engineering techniques
Stakeholder Management: Strong negotiation skills and ability to manage trade-offs
Basic Technical Knowledge of Distributed Systems Architecture: Understanding of environments, software delivery pipelines, frontend vs. backend layers, and common market technologies
AI Project Experience: Proven track record delivering data-driven or automation-based products
Analytical Skills: Experience managing technology budgets and monitoring consumption metrics (tokens, API costs)
Cloud: Experience in projects with advanced cloud usage (AWS, Azure, or Google Cloud)
Experience in internal consulting teams and professional services
AI-Augmented Development: Regular user of AI-assisted coding tools (e.g., Cursor, GitHub Copilot)