Own end-to-end AI solution architecture discovery Use case selection, PoC, pilot production, hardening, and scale-out
Define reference architectures for RAG retriever vector index, chunking, embeddings, ranking, orchestration, LLM apps, agents, and multimodal pipelines on Azure
Provide technical direction across engineering teams, applications, data, ML platform, and security, ensuring solution integrity and adherence to Microsoft best practices
Lead design reviews threat modeling and governance AIOpsMLOps for reliability, performance, security, and cost
Azure AI Solutioning Delivery
Architect solutions with Azure OpenAI Service Azure AI Search vector hybrid Azure AI Foundry, and Cognitive Services Language Speech Vision Prompt Flow Semantic Kernel
Integrate with Azure Functions App Service, AKS, Event Hub, Service Bus, Cosmos DB, SQL DB, Key Vault Private Endpoints, VNET, and API Management
Translate business outcomes into solution blueprints, backlogs, and epics nonfunctional requirements NFRs and operational runbooks
Drive Responsible AI guardrails content filters safety policies data privacy and compliance
Act as the technical owner and primary architectural contact for customers product managers and delivery leadership
Mentor engineers/architects to build reusable patterns, libraries, and accelerators
Lead and contribute to RFPs, RFPsRFIs solution approach architecture diagrams, and delivery plan cost-effort estimation BoQBoM assumptions, risks, and win themes
Run customer ideation workshops discovery sessions and executive briefings; craft compelling value narratives and differentiators
Required Qualifications
15 years in software solution engineering with 5 years as an architect lead principal level
Proven track record driving AI solutions from ideation to implementation in enterprise environments
Expertise in RAG architectures and LLM application design, prompting, orchestration tool use, and grounding
Hands-on with Azure AI services
Azure OpenAI Service assistants, LLM APIs, prompt engineering, cost, and performance controls
Azure AI Search vector search hybrid retrieval custom scoring/reranking
Azure ML training deployment model registry pipelines
RFP PreSales experience solutioning proposal authoring, estimations, and customer workshops
Microsoft technologies: .NET, ASP.NET Core, Azure PaaS, GitHub, Azure DevOps, Power Platform, M365, SQL Server Cosmos DB, API Management Event Hub Service Bus
Solid grounding in security compliance identity Entra ID VNETPE Key Vault encryption data governance. Responsible AI practices
Excellent communication stakeholder management and documentation skills