Toronto, ON
"Total Experience: 6-8 years
Required Skill Set
- Design and implement an agent orchestration layer (routing, tool-calling patterns, workflow coordination, agent registry integration, state management, and failure fallback strategies).
- Define and apply enterprise agent patterns (standard agent templates, reusable components, and orchestration controls).
- Establish observability monitoring for agents and orchestrations logging, tracing, drift detection signals, agent-specific metrics, and operational dashboards.
- Integrate Microsoft Azure services and Microsoft ecosystem components (with emphasis on Azure AI capabilities and Foundry experience where applicable).
- Partner with leadership to clarify expected outcomes vision and translate them into an executable build plan, architecture decisions, and delivery milestones.
- Operate and support production grade AI solutions to meet availability, reliability, and performance expectation
- Perform routine model, prompt, and configuration updates within approved change processes
- Embed Applied AI Evals considerations into the platform governance hooks, auditability, risk controls, and operational readiness for agents.
- Deep, hands-on experience across Microsoft Azure services (designing, deploying, and operating cloud-native systems).
- Strong background in AI agent ecosystems (multi-agent patterns, orchestration concepts, agent registries, tool routing, memory state, evaluation approaches).
- Demonstrated ability to implement monitoring observability for AI agent solutions (logging, tracing, metrics, and operational alerting).
- Proven delivery on multiple AI initiatives comfortable shaping ambiguity into the right questions, crisp requirements, and practical architectures."
