Solution Architect Lead - D365/Power Platform/Azure

AHU Technologies • Washington, DC

1d • Hybrid

About The Position

The Client is looking for 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. 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.

Requirements

• Bachelor’s degree in IT, related field, or equivalent experience.
• 16 years Progressive IT experience.
• 8 Years Solution or enterprise architecture on enterprise-scale, mission-critical systems.
• 5 Years Lead or principal architect on full D365 implementation lifecycles (min. 2 lifecycles).
• 4 Years Microsoft Azure architecture and hands-on build (PaaS integration, data, identity).
• 2 Years Generative AI / agentic development in production — Azure AI Foundry, Azure OpenAI, or Copilot Studio.
• 2 Years RAG / grounding, tool calling, agent orchestration, and AI evaluation methodology.
• 5 Years Application security in a regulated environment (NIST 800-53 or equivalent, threat modeling, secure SDLC).
• 2 Years Government cloud delivery — GCC, GCC High, or Azure Government.
• 5 Years Pro-code D365 extensibility — C#/.NET plug-ins, custom APIs, PCF controls.
• 2 Years Cross-cloud or cross-tenant architecture (government, commercial).
• 4 Years Power Platform ALM, solution layering, Azure DevOps CI/CD.
• 3 Years Operating a live production system through vendor platform release waves without disruption.
• 5 Years Direct briefing of executive / non-technical program leadership.
• Dynamics 365 Customer Service (MB-230).
• Microsoft Certified: Power Platform Solution Architect Expert (PL-600).
• Microsoft Dynamics 365 CE / Dataverse / Power Platform — hands-on.
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305).

Nice To Haves

• Microsoft Certified: Power Platform Developer Associate (PL-400).
• TOGAF 9/10 Certified.
• Microsoft Certified: Azure AI Engineer Associate (AI-102).
• Microsoft Certified: Azure Security Engineer Associate (AZ-500).
• CISSP or CCSP (ISC²).
• Microsoft Certified: Cybersecurity Architect Expert (SC-100).
• Microsoft Certified: Fabric Analytics Engineer (DP-600) or Azure Data Engineer (DP-203).
• 3 Years Health and Human Services domain — child welfare (CCWIS/SACWIS), Medicaid/MMIS, integrated eligibility, behavioral health, or public health systems.
• 2 Years Federal child welfare reporting — AFCARS, NCANDS, NYTD, CFSR, Title IV-E.
• 3 Years Power Pages / portal architecture and external-user security.
• 3 Years Data engineering and BI — Fabric, Synapse, Data Factory, Power BI.
• 2 Years Public sector or District government delivery experience.
• 3 Years Mentoring and capability transfer to government staff.

Responsibilities

• Own 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.
• Design, 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.
• Serve 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.

Benefits

• Flexible work from home options available.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior