You will get I will architect private, secure AI infrastructure for regulated teams
Project details
I build private AI infrastructure for teams that can't send sensitive data to public AI tools. As the founder of AtlasAI — a private AI platform for the legal industry — and a former enterprise AI lead at Microsoft, I've architected the exact systems regulated organizations need: private model deployment, tenant isolation, permission-aware retrieval, and hardened identity and security.
What sets me apart is that I've actually built and run this in production, not just advised on it. You get an architecture your engineers can execute against — concrete deliverables, real tech-stack decisions, and a clear path to ship — not a generic strategy deck.
What sets me apart is that I've actually built and run this in production, not just advised on it. You get an architecture your engineers can execute against — concrete deliverables, real tech-stack decisions, and a clear path to ship — not a generic strategy deck.
Programming Languages
TypeScript, C#Coding Expertise
Cross Browser & Device Compatibility, Security, DesignWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$6,500
|
Advanced
$14,000
|
|---|---|---|---|
| Delivery Time | 5 days | 21 days | 60 days |
Number of Revisions | 5 | 5 | 3 |
Number of Pages | 10 | 15 | 25 |
Design Customization | |||
Content Upload | - | ||
Responsive Design | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$2,500 - $5,000About Stephen
AI Architect | Secure RAG Chat & Knowledge Systems
Castle Rock, United States - 5:35 pm local time
With over a decade of experience in software engineering and cloud architecture, I specialize in building enterprise AI applications, agentic workflows, retrieval-augmented generation (RAG) systems, knowledge management platforms, and AI-powered automation solutions.
My background includes leading AI initiatives for large enterprises, law firms, and technology companies, with a focus on security, scalability, and real-world adoption.
What I Can Help You Build
• Custom AI applications using GPT, Claude, Gemini, and open-source LLMs
• Agentic AI systems and multi-agent workflows
• Retrieval-Augmented Generation (RAG) platforms
• Enterprise knowledge management and semantic search solutions
• Azure OpenAI, Azure AI Search, and Microsoft AI ecosystem integrations
• AI-powered document analysis, summarization, and generation
• Workflow automation and business process optimization
• Private AI deployments within your cloud environment
• API development and AI integrations
• Vector database implementation (Qdrant, Pinecone, Weaviate, Chroma)
Technical Expertise
• Python, C#, JavaScript, TypeScript
• Azure OpenAI Service
• OpenAI API
• Anthropic Claude API
• Microsoft Azure
• Azure AI Search
• Semantic Kernel
• LangChain
• LlamaIndex
• Qdrant Vector Database
• REST APIs and Microservices
• Azure Functions and Serverless Architecture
Steps for completing your project
After purchasing the project, send requirements so Stephen can start the project.
Delivery time starts when Stephen receives requirements from you.
Stephen works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & requirements
We start with a working session to map your data, compliance constraints, existing stack, and goals. I identify what data can't leave your trust boundary and what's driving the project.
Step 2 — Data-flow & risk assessment
I map how data moves through your current or planned setup, flag exposure points, and define the sovereignty and security requirements the architecture has to meet.