Description

Key Responsibilities

Architecture Technical Leadership

• 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
• Cognitive Services Language Speech Vision
• Strong performance engineering skills: load testing, profiling, token optimization, caching, autoscaling, GPU/CPU sizing, and telemetry
• 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

Key Skills

Education

Bachelor’s degree