Principal AI Solutions Architect (Agentic AI, RAG, LLMOps)

Agentic AI & Multi-Agent Systems
Expertise in designing and shipping agentic AI systems using LangGraph, MCP, and A2A for multi-agent orchestration, tool calling, guardrails, evaluation, and observability in enterprise production environments.

Production RAG & LLMOps
Over 3 years of production experience delivering RAG pipelines with vector and hybrid retrieval, context engineering, evaluation harnesses, prompt engineering, cost/latency optimization, and AI FinOps on AWS Bedrock and multi-cloud Kubernetes.

Cloud AI Platforms (AWS Bedrock, Azure AI Foundry, Multi-Cloud)
Hands-on delivery of cloud-native AI platforms on AWS Bedrock, Azure AI Foundry, Azure AI Search, GCP Vertex AI, AWS EKS, AKS, and Kubernetes, including Terraform-based multi-cloud platform engineering and CI/CD pipelines via Azure DevOps.

Microsoft Azure AI Stack
Delivery of enterprise-grade conversational AI on Azure AI Foundry with Azure AI Search (vector, semantic, and hybrid retrieval with grounding), Azure OpenAI, Azure Functions, Cosmos DB, Entra ID, Bicep, and Azure DevOps CI/CD for compliance-aware AI solutions.

Solution Architecture & Pre-Sales Delivery
End-to-end ownership from solution discovery and architecture through POCs, pilots, and production delivery, including decomposition into ingestion, retrieval, orchestration, and guardrail layers, with launch readiness measured on latency, answer quality, and cost.

Apple Platform & Native Development
Development of native Apple platform applications using Swift 6.2, SwiftUI, Liquid Glass, and AppKit, including on-device LLM and STT integration, real-time transcription and translation for iOS 26 and macOS.

Architecture & Software Development
Deep experience in event-driven architecture, microservices, CQRS, DDD, and API design (REST, GraphQL, gRPC), with 15+ years of Python and extensive use of Rust, TypeScript, Java, Go, LangChain, FastAPI, Spring Boot, Node.js, and React.

Infrastructure & DevOps
Platform engineering with Kubernetes, Docker, Terraform, Helm, ArgoCD, GitHub Actions, GitLab CI/CD, Kafka, RabbitMQ, and Redis, supporting cloud-native platforms processing 2M+ events per day.

Executive Advisory & AI Governance
Advisory on AI roadmaps, EU AI Act alignment, build-vs-buy decisions, platform operating models, and enterprise governance for senior stakeholders across regulated industries including insurance, financial services, energy, and public sector.

AI-Native Engineering Workflow
Use of Claude Code and Claude Cowork as primary engineering environment, custom MCP servers, multi-agent orchestration with model-family separation, Composio tool routing across GitHub, Vercel, and Cloudflare, with agent-driven triple validation on every production change.