AI solutions architect and generative AI consultant for new product strategy and technical roadmap

I’m gearing up to build an AI-powered product and need a seasoned AI solutions architect—someone who has already taken large-language-model systems from whiteboard sketches to live, reliable services. Before any code is written, I want to validate the idea, choose the right technologies, and map out a production-ready path for an MVP. Here’s what I expect from our engagement: • A concise feasibility assessment that highlights risks, data requirements, and quick wins. • A high-level and component-level architecture diagram showing how LLMs, retrieval pipelines, and a scalable cloud backbone fit together. • Clear recommendations on model selection (open-source vs. proprietary), vector databases, orchestration frameworks, and supporting services. • An infrastructure plan covering security, compliance, monitoring, and cost management. • A phased roadmap that takes the project from proof-of-concept through MVP to full production deployment, with milestones and acceptance criteria I can share with investors. I value practical, battle-tested advice—case studies or metrics from past projects are welcome. If you’ve designed and deployed generative AI or retrieval-augmented systems at scale and can package that knowledge into an actionable blueprint, let’s talk.

Project ID: 40537333