Solution Architect

Strategic Enterprise Advisory 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. 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.