Senior Azure Ai Foundry Architect (10+ Years) To Design And Deliver Ai Agents And Rag Solutions Usin

Senior Azure AI Foundry Architect (10+ years) to design and deliver AI agents and RAG solutions using Microsoft Foundry and Azure AI Search
Our public sector client is seeking a
Senior Azure AI Foundry Architect (10+ years) to design and deliver AI agents and RAG solutions using Microsoft Foundry and Azure AI SearchLead high-impact architecture for AI agents, RAG applications, and AI-enabled workflows built on Microsoft Foundry within a public sector environment. Scope spans target-state architecture, Foundry Agent Service implementations, RAG pipelines with Azure AI Search, and embedded enterprise security, Responsible AI, evaluation, and observability. The role also drives cost management and automated provisioning with Terraform or Bicep and CI/CD, integrating solutions across enterprise applications and channels. Deliver production-grade systems balancing quality, latency, cost, and privacy.1 year contract to start, hybrid in Richmond - 3 days/week onsite.Must Haves
8+ years in
cloud architecture, software or platform engineering, including 2+ years designing
AI/LLM
solutionsHands-on architecting, designing, and implementing solutions on
Azure AI Foundry
with at least one production deploymentFoundry Agent Service
and agent frameworks for agentic systemsStrong knowledge of
Azure AI Search, embeddings, and vector-based retrievalUndergraduate degree in Computer Science, Engineering, or a related STEM disciplineNice to Have
Microsoft certifications such as AI-102 or AZ-305 (or equivalent)Experience with MCP servers, tool integration, and agent-to-agent (A2A) patternsDeploying containerized/hosted agents on Azure Container Apps or AKSModel fine-tuning, distillation, and provisioned throughput (PTU) capacity planningAI evaluation, red-teaming, and content safety tooling (Azure AI Evaluation SDK, PyRIT, Azure AI Content Safety)Responsibilities
Design and document the Microsoft Foundry target-state architecture with environment segregation and integration with Azure landing zonesDesign and implement agents using Foundry Agent Service, including tool integration and multi-agent orchestration patternsArchitect and optimize RAG pipelines and knowledge sources using Azure AI Search and related vector storage to meet latency, cost, and quality targetsImplement enterprise security controls for Foundry, including private networking, identity, RBAC, Key Vault, data residency, and audit loggingDesign and execute AI evaluation processes using Foundry evaluations and the Azure AI Evaluation SDK, including red-teaming and continuous evaluationImplement AI observability and tracing using OpenTelemetry, Azure Monitor, and Application Insights for token consumption, latency, failures, and trace correlationAutomate provisioning and deployment of Foundry resources, model deployments, connections, and agents using Infrastructure as Code and CI/CD pipelinesSenior Azure AI Foundry Architect (10+ years) to design and deliver AI agents and RAG solutions using Microsoft Foundry and Azure AI SearchLead high-impact architecture for AI agents, RAG applications, and AI-enabled workflows built on Microsoft Foundry within a public sector environment. Scope spans target-state architecture, Foundry Agent Service implementations, RAG pipelines with Azure AI Search, and embedded enterprise security, Responsible AI, evaluation, and observability. The role also drives cost management and automated provisioning with Terraform or Bicep and CI/CD, integrating solutions across enterprise applications and channels. Deliver production-grade systems balancing quality, latency, cost, and privacy.1 year contract to start, hybrid in Richmond - 3 days/week onsite.Must Haves
8+ years in
cloud architecture, software or platform engineering, including 2+ years designing
AI/LLM
solutionsHands-on architecting, designing, and implementing solutions on
Azure AI Foundry
with at least one production deploymentFoundry Agent Service
and agent frameworks for agentic systemsStrong knowledge of
Azure AI Search, embeddings, and vector-based retrievalUndergraduate degree in Computer Science, Engineering, or a related STEM disciplineNice to Have
Microsoft certifications such as AI-102 or AZ-305 (or equivalent)Experience with MCP servers, tool integration, and agent-to-agent (A2A) patternsDeploying containerized/hosted agents on Azure Container Apps or AKSModel fine-tuning, distillation, and provisioned throughput (PTU) capacity planningAI evaluation, red-teaming, and content safety tooling (Azure AI Evaluation SDK, PyRIT, Azure AI Content Safety)Responsibilities
Design and document the Microsoft Foundry target-state architecture with environment segregation and integration with Azure landing zonesDesign and implement agents using Foundry Agent Service, including tool integration and multi-agent orchestration patternsArchitect and optimize RAG pipelines and knowledge sources using Azure AI Search and related vector storage to meet latency, cost, and quality targetsImplement enterprise security controls for Foundry, including private networking, identity, RBAC, Key Vault, data residency, and audit loggingDesign and execute AI evaluation processes using Foundry evaluations and the Azure AI Evaluation SDK, including red-teaming and continuous evaluationImplement AI observability and tracing using OpenTelemetry, Azure Monitor, and Application Insights for token consumption, latency, failures, and trace correlationAutomate provisioning and deployment of Foundry resources, model deployments, connections, and agents using Infrastructure as Code and CI/CD pipelinesDisclaimer:AI may be used in evaluating candidates.This posting is for an existing vacancy.
#J-18808-Ljbffr