Solution Architect Lead: Enterprise AI & Cloud (DC)

StaffXpert LLC

Washington (District of Columbia)

Hybrid

USD 180,000 - 240,000

Full time

3 days ago

Be an early applicant

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

STAFFXPERT LLC is seeking a Solution Architect Lead in Washington, DC to provide hands‑on technical architecture and engineering leadership for a large‑scale platform built on Microsoft Dynamics 365, Power Platform, and Azure. The ideal candidate will lead solution architecture, platform engineering, AI/agentic development, security, cloud integration, DevOps, and continuous platform improvement.

This role requires a highly hands‑on technical leader with experience designing and implementing

Qualifications

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related technical discipline.
16+ years of progressive IT experience.
8+ years of solution or enterprise architecture experience with enterprise-scale systems.
7+ years of hands-on Microsoft Dynamics 365 CE, Dataverse, and Power Platform experience.
5+ years of lead/principal architect experience across full D365 implementation lifecycles.
4+ years of Microsoft Azure architecture and hands-on development experience.
2+ years of production generative AI/agentic development using Azure AI Foundry, Azure OpenAI, or Copilot Studio.
5+ years of application security experience in regulated environments.
2+ years of experience with government cloud environments such as GCC, GCC High, or Azure Government.
5+ years of pro-code D365 extensibility using C#/.NET plug-ins, custom APIs, and PCF controls.
2+ years of cross-cloud or cross-tenant architecture experience.
4+ years of Power Platform ALM, solution layering, and Azure DevOps CI/CD.
3+ years of experience supporting production systems through vendor platform release cycles.
Strong executive communication and technical leadership skills.

Responsibilities

Own solution and platform architecture, including Dataverse data models, solution design, environment strategy, integrations, and technical standards.
Design and secure integrations between Microsoft Government Community Cloud (GCC) and commercial Azure environments.
Implement Azure identity, managed identities, service principals, Key Vault, private networking, and API gateway solutions.
Lead AI and agentic development using Azure AI Foundry, Azure OpenAI, and Copilot Studio.
Design and implement RAG/grounding, tool calling, agent orchestration, prompt engineering, AI evaluation, and human-in-the-loop workflows.
Establish responsible AI, data protection, audit, and security controls for regulated environments.
Lead application and platform security, including least privilege, threat modeling, secure SDLC, vulnerability management, and compliance.
Manage Dynamics 365 and Power Platform release cycles, upgrades, testing, and continuous improvement.
Drive DevOps maturity through Azure DevOps CI/CD, source control, automated testing, and deployment pipelines.
Own data architecture, interoperability, data quality, and reporting requirements.
Troubleshoot complex performance, integration, security, solution-layering, and platform issues.
Communicate technical architecture and recommendations to executive leadership, technical stakeholders, and external partners.
Mentor technical resources and support knowledge transfer across teams.