James Shehan

Hi, I'm James
AI Product Leader & Builder. I architect multi-agent systems, ship production AI products, and bridge the gap between executive strategy and hands-on engineering.
Seattle, WAOpen to opportunities
JS

About

I'm an AI product strategist turned builder — 8+ years driving digital transformation in financial services and enterprise AI, now shipping production systems myself. At Right at Home, I architected and launched enterprise AI products — Rahya (NL-to-SQL analytics) and CIA (corporate knowledge agent) — across a 700+ location franchise network while leading AI strategy, governance, and enablement programs. I've also built 3 personal AI projects from scratch: a real-time voice coaching agent, an AI wine concierge with two-tier RAG, and a self-hosted multi-agent infrastructure node — 5 AI products shipped and counting. I hold a PMP, Azure AI Engineer certification, and a Certified Sommelier credential — because the best technologists pursue mastery across domains.

8+
Years Experience
5
AI Products Shipped
700+
Franchise Locations
5
Certifications

Work Experience

Skills

Engineering
React
Next.js
TypeScript
Node.js
Python
PostgreSQL
Docker
Cloud & Infra
Azure
AWS
AI & Data
AI/ML
RAG
Leadership
Program Management
Solutions Architecture
My Projects

Check out my latest work

Personal AI projects and enterprise products I've built end-to-end — from architecture and system design through production deployment.

Pitch Coach AI

Built a real-time AI sales coaching voice agent with a two-brain architecture: a real-time actor handles live conversation via Azure OpenAI gpt-realtime, while an async grader evaluates performance against rubric-based criteria. Features dynamic JSON buyer personas, structured feedback, and LiveKit for low-latency voice streaming.

Azure OpenAI
LiveKit
Python
RAG
Real-time Voice AI
Rubric Grading

Vinny — AI Wine Concierge

Designed and built a full-stack AI wine recommendation engine with two-tier RAG across 71K wine reviews and 181 Wikipedia articles. Features MCP server integration, 10 specialist agents, Supabase with pgvector for semantic search, rate limiting via Upstash Redis, and enterprise-grade CSP security headers.

Next.js
TypeScript
Supabase
pgvector
Vercel AI SDK
RAG
MCP

Hive — Multi-Agent Infrastructure

Architected a self-hosted multi-agent infrastructure node with Docker sandboxing, 6-layer security model, and 19 Architecture Decision Records. Features LiteLLM cost governance, QMD hybrid search, Tailscale zero-trust mesh networking, and cloud-init with LUKS + TPM2 encryption for bare-metal deployment.

Docker
Python
LiteLLM
Tailscale
OpenClaw
Infrastructure-as-Code

Rahya — Enterprise Data Intelligence

Led product strategy and rollout of an enterprise NL-to-SQL analytics platform that democratized data access for non-technical users across a 700+ location franchise network. Built on Snowflake Cortex with a natural language interface that translates business questions into verified SQL queries, projected to reduce annual data analysis costs by $150K+. Managed full lifecycle from pilot kickoff through corporate launch including training, onboarding, and adoption tracking.

Snowflake Cortex
NL-to-SQL
Streamlit
Python
SQL
Enterprise Analytics

CIA — Corporate Knowledge Agent

Launched an enterprise knowledge retrieval agent deployed via Microsoft 365 Copilot, serving as the central 'front door' for corporate information access. Built with RAG architecture on Azure for secure, grounded responses from internal SharePoint knowledge bases. Operationalized pilot testing, iterative feedback loops, and adoption campaigns to scale usage across corporate employees.

M365 Copilot
Azure AI
RAG
SharePoint
Enterprise Search
Contact

Get in Touch

Want to chat? Reach out on LinkedIn or send me an email. Always happy to connect.

GitHub
LinkedIn