AI Architect | Builder | Advisor

I help organizations turn AI ambition into working enterprise capability.

I design the systems that let organizations generate, execute, govern, and continuously improve new capabilities: multi-agent workflows, RAG platforms, LLMOps, cloud-native products, and the operating models that make them useful in the real world.

Capability Engine
Business Data Platforms AI Governance Learning People Workflows
15+ years driving enterprise transformation
~90% customer issue deflection through multi-agent AI
10x developer throughput with agentic SDLC patterns
200+ engineers enabled on GitHub Copilot and AI-assisted delivery

How I think about transformation

The living enterprise

Enterprise Knowledge

RAG, search, embeddings, SharePoint, Salesforce, Foundry, and governed data access.

Enterprise Skills

Reusable workflows, agents, APIs, integration patterns, and platform capabilities.

Enterprise Memory

Interaction history, lessons learned, model feedback, decision traces, and operational context.

Governance & Guardrails

NIST AI RMF alignment, IAM, RBAC/ABAC, model inventory, auditability, and human-in-the-loop controls.

Evaluation & Learning

LLMOps, RAGAS-style scoring, hallucination checks, bias detection, and measurable outcome tracking.

How I can help

From executive idea to production-grade system.

My work sits between strategy and implementation. I help leaders choose the right bets, help teams design the architecture, and help delivery groups build systems that are measurable, governed, and adopted.

Enterprise AI strategy and platform selectionMulti-agent architecture and agentic workflow designRAG pipeline design, evaluation, and optimizationLLMOps, observability, safety, and responsible AI governanceCloud-native product architecture across AWS, Azure, and Palantir FoundryExecutive alignment, PoC-to-production planning, and engineering enablement

Experience

A diverse path from 2007 to today: analysis, delivery, product, architecture, and AI.

01 2007-2011

Jr. BA / Business Analyst

Requirements, process discovery, stakeholder alignment

02 2011-2017

Sr. BA / BI / Integration

Analytics, systems integration, automotive and logistics workflows

03 2017-2021

PO / PM / Scrum Master

Backlogs, agile delivery, product ownership, field operations

04 2021-2022

Product & Strategy

Roadmaps, API marketplace thinking, platform monetization

05 2022-Present

AI Architect

Solution architecture, agentic systems, RAG, LLMOps, governance, adoption

Recent organization proof points

Representative organizations and programs where these capabilities were applied.

Computer Land, GM, Toyota, Hyundai, FedEx, Ryder, Brinks

2007-2020

BA, PM, product, integration, BI, and transformation leadership

Delivered automotive, logistics, IoT, analytics, RPA, and enterprise integration programs across global operations.

Jack Henry

2020-2021

Product Owner / Sr. BA / Scrum Master

Modernized financial institution card-management workflows for 50+ banking clients.

IQVIA

2021-2022

Associate Director, Product & Strategy

Built API marketplace strategy for AI/ML model monetization across regulated global markets.

Lennar

2022-Present

Lead Solution Architect, Customer Experience & Emerging Technology

Architecting enterprise AI platforms, multi-agent systems, RAG, LLMOps, IAM, computer vision, and AI governance.

Industry breadth

Different domains, same architecture discipline.

I have worked across industries where reliability, governance, integration, and adoption all matter. That breadth helps me separate what is truly domain-specific from what is reusable enterprise capability.

Lennar

Homebuilding & customer experience

AI platforms, service automation, CX workflows

IQVIA

Healthcare & life sciences

API marketplace strategy, AI/ML monetization

Jack Henry

Banking & financial services

Card-management modernization, client workflows

Toyota, Hyundai, GM dealership

Automotive & mobility

Service operations, diagnostics, warranty workflows

FedEx, Ryder

Logistics & transportation

Operations, integration, analytics, IoT programs

Brinks

Security & field operations

Enterprise transformation, BI, automation

Cross-industry

Enterprise technology platforms

Cloud, data, governance, AI adoption

Technology landscape

Major tools, platforms, and architecture patterns I work across.

AI & agentic systems

OpenAIClaude SDKAWS BedrockAzure AI FoundryLangGraph

RAG, RAGAS, LLMOps, LangChain, fine-tuning, prompt engineering, GitHub Copilot

Cloud & platforms

AWSAzureCloudflarePalantirSalesforce

Palantir Foundry, SharePoint, Kubernetes, Docker, serverless platforms, API ecosystems

Data, integration & automation

SQLData pipelinesVector searchREST APIsEvent-driven architecture

Embeddings, GraphQL, RPA, IoT, analytics, BI, enterprise integration patterns

Security, governance & delivery

OAuth / OIDCIAMNIST AI RMFTerraformCI/CD

RBAC / ABAC, model governance, observability, agile delivery, product strategy