Solution Architect Lead (Hybrid)

Solution and Platform Architecture Own and maintain the authoritative the Client architecture: logical and physical data models, Dataverse table and relationship design, solution segmentation, environment strategy, and integration topology.Personally build in the platform — model-driven app configuration, plug-ins and custom APIs (C#/.NET), PCF controls, TypeScript/JavaScript client extensions, Power Fx, and plug-in pipeline optimization.Establish and enforce architecture standards, design patterns, naming conventions, and technical debt registers across all modules and portals.Chair design authority review for significant changes; sign off on solution designs before build.Diagnose deep platform issues: performance degradation, API and service-protection limits, plug-in execution ordering, solution layering conflicts, storage growth, portal rendering.Maintain architecture artifacts sufficient to satisfy the Client review, federal audit, and District IT governance.Cross-Cloud Architecture: GCC and Commercial Azure Serve as hands-on technical lead for the Client AI capability, including CORA and its expansion into agentic workflows.Design, build, evaluate, and productionize agents in Azure AI Foundry and Copilot Studio: tool and function calling, orchestration and multi-agent patterns, grounding and retrieval over Dataverse and document stores, prompt and context engineering, structured output, and human-in-the-loop checkpoints.Own AI evaluation discipline: golden datasets, automated evals, grounded ness and hallucination measurement, regression testing on model or prompt changes, latency and cost benchmarking, controlled rollout.Manage the AI model lifecycle — track model releases and deprecations, run comparative evaluation before adopting a new model, execute migrations without regression to worker-facing quality.Implement responsible AI controls appropriate to a child welfare setting: content safety, PII/PHI handling, bias and fairness testing, explainability, audit logging of AI-influenced actions, and clear framing of AI output as decision support rather than decision making.Support predictive and analytic capability aligned to agency mission priorities, ensuring models are validated, monitored for drift, and governed.Build reusable AI platform assets — prompt libraries, agent templates, evaluation harnesses, observability dashboards.Application and Platform Security breach notification obligations.Design and enforce least privilege: Dataverse business unit and role architecture, row/column-level security, portal web roles and table permissions, privileged access management, separation of duties for finance and eligibility functions.Lead secure SDLC: threat modeling, secure code review, static and dynamic analysis, dependency and supply-chain scanning, secrets management, remediation tracking with severity-based SLAs.Support penetration tests, vulnerability assessments, and audit response; own the Client assigned POA&M items.Define AI-specific security requirements: prompt injection defenses, tool-permission scoping, data exfiltration prevention, agent action auditing.Contribute to incident response, continuity, and disaster recovery planning; validate RTO/RPO through periodic exercises.Continuous Improvement and Release Management · Microsoft Certified: Power Platform Solution Architect Expert (PL-600)-Required- -