Dennis

Senior AI Solution Architect

Led solution architecture for enterprise clients in logistics, finance, and healthcare. Responsibilities included understanding client business problems, designing end-to-end AI solutions, guiding engineering teams through implementation, and ensuring successful production deployment.. Architected a multi-tenant RAG platform for a logistics client using LangChain orchestration, Pinecone vector search with tenant-isolated namespaces, and GPT-4. The system supported three business units with their own document sets and security boundaries, processing about 50,000 queries per month.. Created a solution architecture template that reduced proposal time from three weeks to about five days. The sales team adopted it for every major opportunity.. Led technical discovery for a fintech client considering AI for regulatory document analysis. Mapped their existing data sources, compliance requirements (audit logging, data residency), and latency needs. Proposed a solution using AWS Bedrock for compliance.. Wrote Terraform modules for production-ready AI infrastructure (VPC networking, EKS clusters, RDS for state, S3 for document storage). Standardized patterns across multiple client deployments.. Helped establish an architectural review process for the AI engineering team. Every significant feature required a lightweight design doc (problem, solution, trade-offs, open questions) and a 30-minute walkthrough.. Mentored three solution architects and engineers on client communication, trade-off analysis, and pragmatic design. Showed them how to say 'we can build that, but here's what it will cost in time and complexity.'. Worked closely with product and engineering leadership to align client requirements with the platform roadmap. Brought back anonymized client feedback to inform product decisions.. Presented architectural proposals to client CTOs and engineering VPs. Focused on business outcomes, risk mitigation, and total cost of ownership — not just technical features.. Led incident retrospectives when things went wrong. One notable case: a client's vector index corrupted after a bad deployment. Walked through what happened, added automated backup validation to the architecture, and documented the fix.. Participated in hiring two solution architects. Focused on practical questions about handling trade-offs, communicating with non-technical stakeholders, and debugging production incidents.