Solution Architect

The overall technical owner for the POD. end-to-end architecture across the Platform and Core Intelligence layers, define and follow integration with POD and central platform, make the cross-cutting decisions on orchestration, security, data and AI patterns that let the rest of the team move fast and independently. Key Responsibilities Own the target architecture for the Orchestrator, Workflow Builder, Conduit and MCP / A2A components, and the Signal Engine, Action Engine, Librarian Agent and Ontology Graph. Define event-driven and workflow-orchestration patterns (Temporal, Azure Event Hub) and the service/API contracts between POD services and the central platform. Set the security architecture — identity (Auth0), secrets management (Azure Key Vault), service-to-service auth — in line with central platform standards. Establish the agentic-AI reference patterns (LangGraph, Azure AI Foundry, MCP / A2A, Graph Database retrieval) so the AI and backend engineers build consistently. Guard non-functional requirements: scalability, resilience, observability, cost, and independence from other PODs. Run design reviews, maintain architecture decision records, and act as the technical liaison to the central platform and the POD. Must-have Skills & Technologies Distributed, microservices and event-driven architecture on Microsoft Azure (AKS, Event Hub, Key Vault). Workflow / orchestration engines — Temporal or equivalent (e.g. Cadence, Camunda) — and saga / long-running process patterns. API design (REST, async, webhooks) and integration patterns including MCP/A2P or comparable agent-to-agent / tool-calling protocols. Data architecture spanning lakehouse (Atlas Data Lake, Databricks), relational (Postgres, SQL), caching (Redis) and graph/ontology stores. AI/ML platform architecture — LLM orchestration, RAG, agentic frameworks (LangGraph), Azure AI Foundry. Security-by-design: identity, secrets, zero-trust service communication. Prior Experience 10+ years in software engineering with 4+ years in an architect role on cloud-native platforms. Demonstrable ownership of a production distributed system on Azure at meaningful scale. Experience architecting AI or data-intensive platforms is strongly preferred. Nice to Have Team Topologies / platform-engineering operating models; experience defining paved road contracts between central and stream-aligned teams. #J-18808-Ljbffr AiRo Digital Labs