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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Solution Architect - Data & AI

United States, Multiple Locations Employment contract 101800.00 - 193800.00 USD / Year · Job Posted May 16, 2026
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Job Description

The Microsoft Federal Civilian Business Unit is looking for a Data & AI Solution Architect to lead enterprise‑scale digital and AI transformation initiatives using Azure AI Services and the broader Microsoft Cloud. This role owns end-to-end architecture strategy and execution for large-scale, multi-program AI and data transformation initiatives across federal customers, driving measurable mission and business outcomes. The ideal candidate is a hands‑on architect and trusted advisor who can engage senior executives, translate complex business challenges into high‑value AI‑powered solutions, and drive customers from strategy through delivery. Success in this role requires passion for AI innovation, architectural rigor, and driving measurable business outcomes in regulated environments.

Job Responsibility

  • Strategic Enterprise Advisory
  • Enterprise Architecture & Technical Vision
  • AI-Driven Process & Knowledge Work Modernization
  • Customer Success, Value Realization & Risk Management
  • Pre-Sales, Account Strategy & Growth
  • Thought Leadership, IP & Community

Requirements

  • Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 4+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR equivalent experience
  • Citizenship & Citizenship Verification: This position requires verification of U.S citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport.

Nice to have

  • Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR equivalent experience
  • 4+ years technical sales experience
  • 4+ years project management experience
  • Technical or Professional Certification in Domain (e.g., Security)
  • Strong experience designing and delivering production-grade Generative AI solutions, including RAG pipelines, agent orchestration, document understanding, and integration with enterprise systems of record
  • Deep, hands-on expertise across the Azure AI stack: Azure OpenAI, Azure AI Foundry, Azure AI Search (vector/hybrid/semantic), Azure AI Document Intelligence, Azure AI Content Safety, and Azure Machine Learning
  • Strong architectural fluency with Azure application services used to host AI workloads: Azure Functions (incl. Durable Functions), Container Apps / AKS, Cosmos DB, Azure Storage, Key Vault, API Management, and Azure Front Door / App Gateway
  • Proven experience with Infrastructure-as-Code (Bicep and/or Terraform), CI/CD (GitHub Actions, Azure DevOps), managed identity, and zero-trust networking patterns (private endpoints, VNet integration)
  • Demonstrated experience with AI-driven application architectures, including Copilot, Copilot Studio, agent frameworks (e.g., Semantic Kernel, AutoGen, Agent Framework), low-code/no-code extensibility, data integration, and governance models for production-scale AI solutions
  • Practical experience implementing AI evaluation, observability, and quality controls — including groundedness, citation/traceability validation, prompt regression testing, telemetry via Application Insights, and human-in-the-loop review workflows
  • Demonstrated ability to own technical strategy across multiple project delivery teams, to include technical scoping of new engagements
  • Proven ability to engage C-level executives and senior leaders to shape technology strategy, influence investment decisions, and align architecture to business and mission outcomes
  • Solid understanding of enterprise architecture frameworks, cloud adoption strategies, security and identity architectures, data governance and application lifecycle governance
  • Experience operating in highly regulated and sovereign cloud environments (Azure Government, FedRAMP High, IL4/IL5), with familiarity with federal compliance, security, and risk management requirements
  • Executive presence with strong communication, presentation, and stakeholder management skills
  • Deep understanding of federal government mission priorities and IT modernization challenges
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