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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
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