Jamie W.

AI Architect | Production-Grade SaaS, Agentic AI & RAG Systems

Expert-Vetted AI Architect & Studio Co-Founder | Top 1% ($400K+, 100% JSS) I help established companies integrate reliable AI into existing software, recover stalled projects, and turn ideas and prototypes into solid products. Drawing on 20+ years of engineering experience, I build architecture designed for real-world business scale. Most companies don't need another AI experiment. They need AI that fits the software and workflows they already run, without breaking what works or overrunning the budget. My focus is on building secure, reliable systems that give you options: I can stay on to support the platform long-term, or seamlessly hand it off to your internal engineers. I also know where AI does not belong. A law firm I built and deployed a discovery-automation system for described the work this way: "Jamie was brilliant in identifying and systematizing our firm's processes… he and his team identified opportunities to leverage AI where helpful and eliminate it where it is not, giving me a reliable automation app." That judgment comes from building production systems myself. As co-founder and lead architect at Calnetic, I don't just take on client work... my team and I build and operate our own products: recruiting platforms, lead-generation automation, security-scanning tools, infrastructure automation, legal case management, and multi-agent AI systems. We've already made the expensive mistakes on our own products, so you don't pay to learn them on yours. You work directly with me. I lead the architecture and stay hands-on throughout, and when a project needs more capacity I can bring in my vetted team, so the work scales without a drop in quality. I've delivered this across legal, healthcare and clinical, recruiting, CRM and field service, and lead generation. Where I'm typically brought in: • SaaS AI Integration: Adding AI into an existing SaaS product or business workflow. • Project Recovery: Fixing an AI system that is unreliable, slow, or incomplete. • Scaling & Hardening: Upgrading a system that is breaking under real-world usage. • Architecture Design: Setting the foundation before development goes off course. • Production Build: Taking a new AI product from MVP to a production-ready state. • Prototype Transformation: Turning a rough idea or script into a working, reliable system. My Process: I begin with your business requirements and a clear architecture and implementation plan, so you know what is being built, what it will cost, and where AI genuinely adds value before any production code is written. From there I build, deploy, and harden the system for real-world use. I don't simply connect an API and call it AI. I work best with teams who want a system built properly, not just quickly. Core Expertise Agentic & Generative AI: Multi-agent systems (tools, memory, planning); RAG pipelines (hybrid search, retrieval optimization); LLM integrations (OpenAI, Anthropic, Gemini); structured outputs, evaluation, and prompt design; voice AI (real-time streaming, STT/TTS); multi-modal systems (documents, vision); MCP servers and context systems. AI Infrastructure: Vector databases (Pinecone, Weaviate, pgvector, Qdrant); embeddings, chunking, and ingestion pipelines; observability and evaluation (LangSmith, Helicone, Arize); workflow orchestration (n8n, Make, custom). SaaS & Systems: React, Next.js, Node, Python, .NET; multi-tenant SaaS, APIs, and integrations; PostgreSQL, MySQL, Redis, Supabase; AWS, GCP, Docker, CI/CD, Terraform. If you're building or fixing a production AI system, send me a brief summary of what you're working on. I'll give you an honest assessment of whether I'm the right fit, how I'd approach it, and walk you through a live, relevant system we've deployed.