Strategic Solutions Architecture
Independent solutions architecture practice delivering cloud, AI, and digital transformation across presales, delivery, and operations.
Practice Areas
Target-state architecture and roadmap development across multi-cloud and AI initiatives. From landing zone design and account organization to application modernization and AI adoption. De-risking transformation at the architecture layer before commitments become delivery problems.
End-to-end design and delivery of AI-powered platforms on AWS and Azure. From RAG pipelines and knowledge base architecture to agentic conversational workflows using Semantic Kernel and foundation models. Production deployment governed by Infrastructure as Code, CI/CD pipelines, and compliance controls aligned to HIPAA and enterprise security standards.
Solutions architecture and SOW development across enterprise pursuits. Technical validation, deal de-risking, and structured handoff from presales to delivery. A discipline that has contributed to $39M+ in contract value across 45+ enterprise portfolios. The core principle is alignment - ensuring what is scoped, what is sold, and what is built are the same thing.
Track Record
Across a decade leading enterprise architecture and presales for a national managed services practice, I served as final escalation point on solution architecture, technical validation, and compliance governance across regulated consulting engagements spanning data center, cloud, AI, and enterprise applications.
Methodology
The space between a signed contract and first-day execution is where margins scale or disappear entirely. That discipline is the Sales to Ops Playbook: aligning presales scoping with post-sales delivery to protect margins and reduce technical debt.
Current Engagement
Live multi-cloud AI SaaS platform serving professional services and healthcare clients.
Two production products on a shared multi-tenant infrastructure: CoachForge for executive coaches and PartnerForge for wellness brand partners. Governed by 15 Architecture Decision Records, a STRIDE-based threat model, and a data classification taxonomy aligned to HIPAA baseline controls.
Architecture: AWS Control Tower organization with SCP inheritance, centralized cross-account security monitoring, chaos engineering framework with executed fault injection testing, DynamoDB single-table multi-tenant isolation with continuous backup, and a dual-paradigm AI architecture - AWS Bedrock for deterministic structured workflows and Azure AI Foundry with Semantic Kernel for agentic conversational flows.
Pipeline-enforced deployments via GitHub Actions and Terraform IaC. AWS and Azure BAA coverage in place.
Terraform, AWS Bedrock, Lambda, API Gateway, DynamoDB, CloudFront, Cloudflare, Azure AI Foundry, Azure Container Apps, and Semantic Kernel
Credentials
Let's Talk
If you are standing up enterprise cloud or AI architecture, building out a practice, or looking for an architect who has held the integrated view across presales, delivery, and operations - I want to have that conversation.