AI Architect

Role Summary

We are seeking a seasoned AI Architect with 15 years of overall technology experience including 5 years in hands on architecture leadership The ideal candidate will drive AI solutions from ideation to implementation lead performance fine tuning actively participate in RFPs and pre sales and architect robust solutions leveraging Azure AI services Azure OpenAI Service Azure AI Search Azure ML Cognitive Services Deep expertise in RAG architectures LLMs and a broad sound knowledge of Microsoft technologies NET Azure M365 Power Platform DevOps is essential

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 multi model pipelines on Azure
• Provide technical direction across engineering teams applications data ML platform security ensuring solution integrity and adherence to Microsoft best practices
• ead 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 Cognitive Services Language Speech Vision Prompt FlowSemantic Kernel
• Integrate with Azure Functions App ServiceAKS Event HubService Bus Cosmos DBSQL DB Key Vault Private EndpointsVNET and API Management
• Translate business outcomes into solution blueprints backlogs epics non functional 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 engineersarchitects build reusable patterns libraries and accelerators
• Lead and contribute to RFPsRFIs solution approach architecture diagrams 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 softwaresolution engineering with 5 years as Architect LeadPrincipal 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 grounding
• Hands on with Azure AI services
• Azure OpenAI Service assistantsLLM APIs prompt engineering costperf controls
• Azure AI Search vector search hybrid retrieval custom scoringreranking
• Azure ML training deployment model registry pipelines
• Cognitive Services Language Speech Vision
• Strong performance engineering skills load testing profiling token optimization caching autoscaling GPUCPU sizing and telemetry
• RFPPre Sales experience solutioning proposal authoring estimations and customer workshops
• Microsoft technologies NETC ASPNET Core Azure PaaS GitHubAzure DevOps Power PlatformM365 SQL ServerCosmos DB API Management Event HubService Bus
• Solid grounding in securitycompliance identity Entra ID VNETPE Key Vault encryption data governance Responsible AI practices
• Excellent communication stakeholder management and documentation skills