Agent
Azure API Management specialist — AI Gateway patterns, semantic caching, token metering, multi-backend load balancing, circuit breaker, rate limiting, and FinOps for LLM API layers.
Agent
Azure API Management specialist — AI Gateway patterns, semantic caching, token metering, multi-backend load balancing, circuit breaker, rate limiting, and FinOps for LLM API layers.
Agent
Azure Front Door & CDN specialist — global content delivery, WAF policies, caching rules, edge optimization, SSL/TLS management, and Private Link origins for AI application frontends.
Agent
Azure Container Apps specialist — serverless containers, Dapr sidecars, KEDA autoscaling, GPU workload profiles, scale-to-zero, and AI agent hosting patterns with blue/green deployments.
Agent
Azure Cosmos DB specialist — partition key design, DiskANN vector search, multi-region writes, RU optimization, change feed processing, and conversation/session storage for AI agents.
Agent
Azure DevOps specialist — YAML multi-stage pipelines, environment protection rules, artifact feeds, workload identity federation, and AI-specific deployment quality gates.
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Azure Event Hubs specialist — partitioned event streaming, Kafka compatibility, Schema Registry governance, real-time AI inference pipelines, and high-throughput data ingestion.
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Azure Functions specialist — event-driven AI processing, Durable Functions for long-running agent orchestration, timer triggers for batch inference, and cold start optimization.
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Azure identity and access management specialist — Entra ID, Managed Identity, DefaultAzureCredential, workload identity federation, RBAC, Conditional Access, and zero-trust architecture for AI services.
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Azure Key Vault specialist — secrets rotation, CMK encryption, certificate lifecycle, HSM-backed keys, Managed Identity integration, and zero-secret deployment patterns for AI workloads.
Agent
Azure Logic Apps specialist — low-code workflow automation, 1400+ connectors, AI integration actions, Durable orchestration, B2B/EDI, and enterprise integration patterns.
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Azure Monitor specialist — Application Insights for AI distributed tracing, KQL for token analytics, custom dashboards for groundedness/coherence metrics, cost alerting, and AI-specific observability patterns.
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Azure networking specialist — hub-spoke VNet design, Private Link for AI services, NSGs, Azure Firewall, DNS private zones, and zero-trust network architecture.
Agent
Azure OpenAI specialist — model deployment types (PTU/PAYG/Global), content filtering, structured output, token optimization, multi-region load balancing, and production inference patterns.
Agent
Azure Policy specialist — built-in/custom policy definitions, AI governance initiatives, compliance scanning, remediation tasks, and policy-as-code deployment patterns.
Agent
Azure Service Bus specialist — queues, topics/subscriptions, dead-letter handling, session-based ordered messaging, saga patterns, and agent-to-agent communication for AI workflows.
Agent
Azure SQL specialist — Hyperscale, serverless auto-pause, native vector search, geo-replication, intelligent performance tuning, and AI integration patterns with embeddings storage.
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Azure Storage specialist — Blob lifecycle tiers, ADLS Gen2 for data lakes, private endpoints, managed identity auth, and document/model artifact storage for AI pipelines.
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Batch processing specialist — Azure Batch pools, Global Batch API (50% cost savings), Durable Functions fan-out, large-scale document/embedding pipelines, and async LLM inference patterns.
Agent
Blazor specialist — Server + WebAssembly + United (.NET 8+) render modes, streaming SSR, AI chat UI components, SignalR real-time, and Razor component architecture.
Agent
Browser automation agent — navigates websites, extracts data, and executes web workflows using Playwright MCP and vision analysis. Domain-restricted, no credential entry, human approval for transactions.
Agent
Bun runtime specialist — ultra-fast JavaScript/TypeScript, built-in bundler, native SQLite, test runner, and HTTP server patterns for AI APIs and MCP servers.
Agent
AI capacity planning specialist — GPU sizing, PTU allocation, token volume forecasting, cost modeling, scaling strategy, and FinOps for Azure AI workloads.
Agent
CI/CD pipeline specialist — GitHub Actions with OIDC, multi-stage deployments, AI quality gates (eval.py), security scanning, and DORA metrics for AI application delivery.
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Cloudflare specialist — Workers AI for edge inference, Workers KV, D1 database, R2 storage, AI Gateway, and CDN optimization for AI application delivery.