Agent Architecture and Development Experience

• Act as the technical SME for workforce agent solution development across Copilot Studio and Microsoft Foundry, including first-party agents, declarative agents, and custom-engine agent development.

• Build and deploy custom-engine agents in Microsoft Foundry, including model selection, orchestration, grounding, evaluation, tool and function integration, and connectivity with Copilot Studio and enterprise systems.

• Demonstrate familiarity with the Microsoft IQ stack, including Work IQ, Foundry IQ, and Fabric IQ, and its role in enabling intelligent agent experiences, including knowledge, grounding, orchestration, evaluation, and integration patterns across Microsoft agent platforms.

• Guide SHI customers with hands-on agent solution delivery, custom DLP policies, environment and AI readiness assessment, use case identification, and governance of enterprise agent platforms.

• Lead agent governance implementation: environment readiness, Power Platform environment strategy, zoned governance, prerequisite validation, platform enablement, and deployment planning across Power Platform, Azure, and related services, using Power Platform Pipelines, Azure DevOps, and GitHub Actions where appropriate.

• Design and implement agent security and compliance controls as part of Agent 365 onboarding, using Microsoft Purview for labels, DLP, and eDiscovery; Microsoft Defender for threat visibility; and Microsoft Entra Agent ID for identity, conditional access, and least-privilege access.

• Establish enterprise agent governance with environment strategy (DEV/UAT/PROD), managed environments, ALM/pipelines, connector governance, solution packaging, auditing, and lifecycle management for Copilot Studio agents and agent flows.

• Own the end-to-end implementation of agent solutions by translating business requirements into workflows, automations, integrations, and extensibility patterns across Copilot Studio, Microsoft Foundry, Azure AI Services, and Power Platform.

• Implement Power Platform governance and ALM capabilities, including managed environments, environment groups, DLP policies, pipeline configuration, approval workflows, Copilot Studio Kit setup, and administrator enablement.

• Define fit-for-purpose agent architectures that align platform capabilities, custom agent logic, integrations, orchestration patterns, and automation workflows to customer requirements.

• Implement secure and governed agent environments, including identity, data access, compliance, monitoring, and lifecycle management using Microsoft security and governance services.

• Guide teams on agent design, governance, evaluation, observability, audit readiness, and operational best practices, including analytics, feedback loops, and continuous improvement.

• Develop and maintain reusable technical assets, including reference architectures, design patterns, solution templates, and implementation guides for Copilot and agent services.

• Help customers evaluate and adopt emerging Microsoft’s Frontier agent capabilities, including prebuilt Microsoft agents, Microsoft Foundry features, Copilot Studio capabilities, and new Agent 365 platform services.

• Apply FinOps practices for agents and AI workloads, including Copilot Credit planning, cost-benefit analysis, usage forecasting, model selection, consumption monitoring, and cost optimization across Copilot Studio, Microsoft Foundry, and related Microsoft AI services.

• Work effectively in Visual Studio Code and use GitHub Copilot and other coding assistants to build, extend, and troubleshoot solutions for Copilot Studio, Microsoft Foundry-hosted agents, and the Agent 365 SDK.

• Demonstrate familiarity with agent development frameworks such as Microsoft Agent Framework to support extensible, code-first agent development patterns across Microsoft agent platforms.

• Perform agent evaluations in Microsoft Foundry and Copilot Studio, including testing agent responses, validating grounding quality, measuring effectiveness, and using evaluation results to improve agent behavior, reliability, and user experience.

• Design agent grounding and retrieval architectures using enterprise data sources, connectors, knowledge sources, Azure AI Search, Microsoft Graph, MCP Servers, Dataverse, and secure data access patterns.

• Implement responsible AI and safety controls for agent solutions, including safety testing, evaluation criteria, risk review, content moderation considerations, human oversight patterns, and continuous improvement.