AI Application Architect

Description The AI Application Architect provides end‑to‑end architectural leadership for AI‑enabled business solutions built on Microsoft Azure , Power Platform , and Microsoft Copilot Studio . This role defines reference architectures, technical standards, integration patterns, security and governance controls, and ensures that AI systems are scalable, compliant, and aligned to enterprise strategy. The architect partners with business units, engineering teams, and security stakeholders to translate organizational needs into modern, durable AI application ecosystems. Onsite 3 days / 2 days remote AI Architecture & Platform Strategy Define enterprise‑level AI solution architectures leveraging Azure AI , Azure OpenAI , Cognitive Services , Azure Machine Learning , and serverless compute. Architect integrated AI agent ecosystems using Microsoft Copilot Studio , including extensibility, action design, plugin behavior, data access strategy, and enterprise governance. Establish standards for prompt engineering, model selection, grounding data patterns, evaluation testing, and performance tuning of Copilot agents. Power Platform & Application Architecture Design scalable, secure architectures for Power Apps , Power Automate , and Dataverse components, including data modeling and environment segmentation. Ensure Copilot‑enabled workflows integrate cleanly into Power Platform‑based applications and enterprise‑wide automation patterns. Define solution boundaries, component interactions, managed solution structures, and DevOps release pipelines for Power Platform assets. Azure Integration & Cloud Architecture Architect integration solutions using Azure API Management , Logic Apps , Service Bus , Functions , and other PaaS components as shown in internal system architecture guidance. Define patterns for secure API exposure, private endpoints, identity‑based access (Managed Identities, service principals), and hybrid connectivity. Align AI solutions with Azure‑based document processing, data analytics, and cognitive integrations recommended in internal solution stacks. Governance, Security & Compliance Establish AI and Power Platform governance policies incorporating Zero Trust, connector restrictions, DLP boundaries, data residency, and RBAC role design. Partner with cybersecurity and compliance teams to ensure alignment with PBGC governance frameworks, including runtime monitoring, model evaluation, and data protection expectations. Define operational guardrails for Copilot Studio environments, including development, test, and production solution promotion workflows. Enterprise Integration & Data Architecture Define data integration strategy for AI agents to safely and effectively consume enterprise data across Dataverse, Azure SQL, shared APIs, and external systems. Develop patterns for enterprise data pipelines, event‑driven architectures, and data access zoning appropriate for AI governance. Guide teams on using Azure Integration Services and cognitive services to enhance business workflows, consistent with PBGC solution plans. Technical Leadership & Stakeholder Engagement Serve as the primary architectural reviewer for AI, automation, and Power Platform projects. Produce technical roadmaps, reference architectures, architecture decision records (ADRs), and design documentation. Provide leadership and mentorship to AI developers, automation engineers, and business solution teams. Ensure alignment with evolving enterprise IT modernization initiatives and platform strategies. Qualifications Required Qualifications BS and 14+ years experience (4 years experience in lieu of degree) Ability to obtain and maintain a public trust requiring U.S. Citizenship or Green Card. Proven experience architecting enterprise solutions using Azure services (Azure Functions, APIM, Service Bus, Cognitive Services, Azure OpenAI). Demonstrated expertise with Power Platform architecture—including Dataverse, model‑driven apps, governance, and managed solutions. Hands‑on architectural experience with Copilot Studio agent design, action integration, and enterprise‑scale governance models. Strong understanding of cloud security, identity, Zero Trust, and compliance frameworks relevant to PBGC environments. Ability to design and review integration patterns using REST APIs, JSON, event‑driven messaging, and hybrid cloud connectors. Experience with Azure DevOps, CI/CD pipelines, solution deployment, and code lifecycle management. Strong communication skills with the ability to interface directly with executive, business, and technical stakeholders. Ability to lead complex architectural discussions and drive consensus across teams. Strategic mindset with the ability to design for both near‑term delivery and long‑term platform sustainability. Commitment to continuous learning and emerging AI capabilities. Desired Certifications such as Azure Solutions Architect Expert, Azure AI Engineer Associate, or Power Platform Solution Architect Expert. Experience architecting AI and automation solutions in government, FedRAMP, GCC/GCC‑High, or other regulated environments. Background in enterprise architecture governance or participation in. Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. #J-18808-Ljbffr Saic