• Lead the design, build, test, deployment and support of solutions using Power Apps, Power Automate, Dataverse, Copilot Studio and appropriate pro-code extensions.
• Engineer AI agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs, evaluation and safe failure paths.
• Design and implement integrations with approved MCP servers and lead development of MCP tools or services using secure, reusable patterns.
• Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft Graph, Azure services and enterprise systems using connectors, APIs and event-based patterns.
• Apply grounding, retrieval-augmented generation, structured outputs, tool calling and model-selection patterns with appropriate evaluation and operational controls.
• Create custom connectors, plug-ins and Azure-hosted components where low-code capability is insufficient, choosing technologies based on need, risk and supportability.
• Set and apply engineering standards for source control, solution packaging, environment strategy, automated testing, CI/CD, monitoring and release management.
• Lead technical investigation of complex live-service faults and improve resilience, performance, accessibility, security and observability.
• Review designs and code, mentor developers and contribute reusable components, patterns and learning to the wider engineering community.