TITLE: Solution Architect Lead - D365/Power Platform/AzureLOCATION: Washington, DC/ HybridEmployment type: Contract w2/1099/C2CMINIMUM EDUCATION: Bachelor’s degree in IT, related field, or equivalent experience.REQUIRED EXPERIENCE: 16 yearsINTERVIEWS: In PersonJob Description:The Client is looking for the requires a senior, hands-on Solution Architect resource to serve as the technical design authority for STAAND (Stronger Together Against Abuse and Neglect in DC), the District's federally certified Comprehensive.Employment type: Contract w2/1099/C2CComplete Description:The person-centric, AI-enabled platform built on Microsoft Dynamics 365 and the Power Platform hosted in a Government Community Cloud (GCC) tenant, with Azure services operating in Microsoft's commercial cloud. It supports social workers, supervisors, private agency partners, providers, resource parents, and District sister agencies across nine functional modules — Intake and Investigations, Case Management, ICPC, Finance (Contracts, Service Logs, and Fiscal), Provider, Eligibility and Subsidy, Placement, Services, and Management Reports — plus six external portals (Mandated Reporter, MPD, NYTD, OSSE, Resource Parent, and Community). STAAND also fields CORA, an AI assistant supporting natural-language search and AI-assisted contact notes among other use cases.The Resource will own architecture, security design, AI engineering, and the platform-release change cadence required to keep current and improving. This is a build-and-design role, not an advisory or oversight role. The Resource is expected to personally configure, code, prototype, review, and troubleshoot in the platform while serving as the credible technical voice to executive leadership, Product Team, Microsoft, and Federal Partners.Key Responsibilities:3.1 Solution and Platform ArchitectureOwn and maintain the authoritative 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 review, federal audit, and District IT governance.3.2 Cross-Cloud Architecture: GCC and Commercial AzureDesign, document, and harden the boundary between the GCC Dynamics/Power Platform tenant and Azure commercial-cloud services.Define what data may traverse that boundary, in what form (de-identified, tokenized, aggregated, or full record), under what authorization, and with what logging — including explicit architectural boundaries for protected data categories such as Medicaid Enrollment.Implement cross-tenant identity, managed identities, service principals, Key Vault secret lifecycle, private networking, and API gateway patterns.Maintain a defensible position on data residency and FedRAMP authorization boundaries for every commercial-cloud service in use, and present that position to auditors and federal reviewers.3.3 AI and Agentic DevelopmentServe as hands-on technical lead for 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, groundedness 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.Skills:Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical discipline from an accredited institution. Required 20 YearsDynamics 365 Customer Service (MB-230). RequiredMicrosoft Certified: Power Platform Solution Architect Expert (PL-600). RequiredMicrosoft Dynamics 365 CE / Dataverse / Power Platform — hands-on. RequiredMicrosoft Certified: Azure Solutions Architect Expert (AZ-305). RequiredMicrosoft Certified: Power Platform Developer Associate (PL-400). DesiredTOGAF 9/10 Certified. DesiredMicrosoft Certified: Azure AI Engineer Associate (AI-102). DesiredMicrosoft Certified: Azure Security Engineer Associate (AZ-500). DesiredCISSP or CCSP (ISC²). DesiredMicrosoft Certified: Cybersecurity Architect Expert (SC-100). DesiredMicrosoft Certified: Fabric Analytics Engineer (DP-600) or Azure Data Engineer (DP-203). DesiredProgressive IT experience. Required 16 YearsSolution or enterprise architecture on enterprise-scale, mission-critical systems. Required 8 YearsLead or principal architect on full D365 implementation lifecycles (min. 2 lifecycles). Required 5 YearsMicrosoft Azure architecture and hands-on build (PaaS integration, data, identity). Required 4 YearsGenerative AI / agentic development in production — Azure AI Foundry, Azure OpenAI, or Copilot Studio. Required 2 YearsRAG / grounding, tool calling, agent orchestration, and AI evaluation methodology. Required 2 YearsApplication security in a regulated environment (NIST 800-53 or equivalent, threat modeling, secure SDLC). Required 5 YearsGovernment cloud delivery — GCC, GCC High, or Azure Government. Required 2 YearsPro-code D365 extensibility — C#/.NET plug-ins, custom APIs, PCF controls. Required 5 YearsCross-cloud or cross-tenant architecture (government, commercial). Required 2 YearsPower Platform ALM, solution layering, Azure DevOps CI/CD. Required 4 YearsOperating a live production system through vendor platform release waves without disruption. Required 3 YearsDirect briefing of executive / non-technical program leadership. Required 5 YearsHealth and Human Services domain — child welfare (CCWIS/SACWIS), Medicaid/MMIS, integrated eligibility, behavioral health, or public health systems. Desired 3 YearsFederal child welfare reporting — AFCARS, NCANDS, NYTD, CFSR, Title IV-E. Desired 2 YearsPower Pages / portal architecture and external-user security. Desired 3 YearsData engineering and BI — Fabric, Synapse, Data Factory, Power BI. Desired 3 YearsPublic sector or District government delivery experience. Desired 2 YearsMentoring and capability transfer to government staff. Desired 3 YearsFlexible work from home options available.