Solution Architect - Data & AI

## About the role * Serve as a trusted advisor to senior executive stakeholders (e.g., CIO, CTO, CDO, etc.), shaping enterprise-wide AI, Data, and digital transformation strategies aligned to mission priorities and measurable outcomes. * Lead enterprise technology direction by translating complex business, customer experience, and operational challenges into cohesive, value-driven architectures across AI, data, and cloud platforms. * Provide technical vision and architectural leadership for large-scale, high-impact initiatives spanning Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Azure Functions, Cosmos DB, and integrated Azure services. * Provide vision and thought leadership on the responsible use of AI and autonomous agents — including model selection, evaluation, deployment, observability, and governance. * Collaborate with account teams, Customer Success Leaders, and partners to direct account planning, deal shaping, and execution of customer success and Azure consumption strategies. * Lead modernization of document-intensive and knowledge-work processes — including drafting, review, adjudication, summarization, and case management — using Azure OpenAI, Azure AI Foundry, Copilot, and custom agent frameworks. * Architect integrated solutions that connect unstructured content (PDFs, scanned documents, transcripts, evidence files) with back-office business processes, analytics, and automation to improve quality, customer satisfaction, operational efficiency, and workforce productivity. * Lead customers in adopting AI-powered agents, copilots, and durable workflow automation at scale, with an emphasis on accuracy, traceability, citation integrity, governance, security, and sustainable value realization. * Create and evolve reusable intellectual property (IP), reference architectures, prompt libraries, evaluation harnesses, and accelerators that scale across Federal customers and scenarios. * Act as a visible thought leader and spokesperson internally and externally through community engagement, industry events, and technical forums focused on applied AI, agentic systems and enterprise architecture. * Mentor and upskill architects and technical teams, fostering a culture of learning, innovation, and architectural excellence. ## 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. * 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.