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Job description:
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 finetuning actively participate in RFPs and presales 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 multimodel pipelines on Azure
Provide technical direction across engineering teams applications data ML platform security ensuring solution integrity and adherence to Microsoft best practices
Lead design reviews threat modeling and governance AIOps/MLOps 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 Flow Semantic Kernel
Integrate with Azure Functions App Service/AKS Event Hub/Service Bus Cosmos DBSQL DB Key Vault Private Endpoints VNET and API Management
Translate business outcomes into solution blueprints backlogs 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 build reusable patterns libraries and accelerators
Lead and contribute to RFPs, RFIs 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 software solution engineering with 5 years as 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 grounding
Handson with Azure AI services
Azure OpenAI Service assistants LLM APIs prompt engineering costperf 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 GPUCPU sizing and telemetry
RFPPreSales experience solutioning proposal authoring estimations and customer workshops
Microsoft technologies NETC ASPNET Core Azure PaaS GitHubAzure DevOps Power PlatformM365 SQL Server Cosmos DB API Management Event HubService 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
Job description:
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 finetuning actively participate in RFPs and presales 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 multimodel pipelines on Azure
Provide technical direction across engineering teams applications data ML platform security ensuring solution integrity and adherence to Microsoft best practices
Lead design reviews threat modeling and governance AIOps/MLOps 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 Flow Semantic Kernel
Integrate with Azure Functions App Service/AKS Event Hub/Service Bus Cosmos DBSQL DB Key Vault Private Endpoints VNET and API Management
Translate business outcomes into solution blueprints backlogs 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 build reusable patterns libraries and accelerators
Lead and contribute to RFPs, RFIs 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 software solution engineering with 5 years as 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 grounding
Handson with Azure AI services
Azure OpenAI Service assistants LLM APIs prompt engineering costperf 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 GPUCPU sizing and telemetry
RFPPreSales experience solutioning proposal authoring estimations and customer workshops
Microsoft technologies NETC ASPNET Core Azure PaaS GitHubAzure DevOps Power PlatformM365 SQL Server Cosmos DB API Management Event HubService 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