Apps & AI Solution Architect

OverviewMicrosoft Industry Solutions Delivery is a global organization hosting over 6,000 strategic sellers, industry and security experts, elite engineers, world-class data scientists and architects, consultants, and delivery specialists. Together with our partners, we help Microsoft’s most strategic customers worldwide to address their specific challenges and provide comprehensive and industry-specific solutions that meet their unique needs. Our organization is at the forefront of innovation, driving value across the entirety of the customers’ digital and AI transformation journey through repeatable and customized cutting-edge solutions powered by Microsoft Cloud and AI. We take pride in embodying Microsoft's mission of empowerment, promoting a growth mindset, inspiring excellence, and fostering a culture of inclusivity where everyone is encouraged to share their unique perspectives and be their authentic selves. By joining our team, you'll have the opportunity to contribute to life-changing innovations that impact billions of people worldwide.The Apps & AI Solution Architect is responsible for designing, governing, and delivering enterprise-scale AI-powered applications and digital solutions that drive business transformation. The role combines expertise in application architecture, cloud-native development, data and AI platforms, security, integration, and business advisory capabilities to enable AI-first and agentic enterprise solutions.The architect serves as the trusted advisor to executive stakeholders, business leaders, and engineering teams, ensuring solutions are scalable, secure, compliant, and aligned to business outcomes. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.ResponsibilitiesKey ResponsibilitiesSolution Architecture & DesignDefine end-to-end architecture for enterprise applications, AI solutions, and intelligent agents.Lead solution design across business applications, custom applications, data platforms, integrations, and AI services.Create architecture blueprints, reference architectures, target state roadmaps, and implementation strategies.Evaluate architectural trade-offs, technical risks, and technology selection decisions.Ensure alignment with enterprise architecture standards and governance <frameworks.AI> & Agentic SolutionsDesign AI-first and agentic business solutions using Generative AI, AI Agents, and Copilot technologies.Architect multi-agent orchestration patterns and AI-powered <workflows.Design> Retrieval Augmented Generation (RAG), vector databases, semantic search, and knowledge grounding capabilities.Define AI model selection strategies and integration approaches.Establish AI observability, monitoring, evaluation, and continuous improvement <practices.Drive> responsible AI adoption and governance.Application Platform ArchitectureArchitect cloud-native applications using microservices, APIs, event-driven architectures, and serverless <patterns.Design> modern web, mobile, and omnichannel application solutions.Lead API strategy, integration architecture, and application modernization initiatives.Define DevSecOps, CI/CD, and application lifecycle management <strategies.Data> & Integration ArchitectureDesign enterprise data platforms supporting AI and analytics workloads.Define data governance, data quality, and information architecture standards.Architect integration solutions spanning SaaS, PaaS, on-premises, and partner ecosystems.Enable real-time data processing and intelligent automation <capabilities.Security> & ComplianceEnsure solutions meet enterprise security, privacy, and regulatory <requirements.Design> identity, access management, and Zero Trust controls.Establish AI security controls including prompt protection, model governance, data residency, and auditability.Perform architecture risk assessments and mitigation <planning.Business> & Strategy AdvisoryTranslate business strategy into technology roadmaps.Facilitate architecture workshops and executive decision-making <sessions.Build> business cases, ROI models, and transformation plans.Align technology investments with measurable business outcomes.Present architecture recommendations to C-suite and senior stakeholders.Technical SkillsCloud & InfrastructureMicrosoft AzureAzure Landing ZonesCloud Native ArchitectureContainers and KubernetesServerless ComputingHybrid and Multi-Cloud PatternsAI & Machine LearningAzure AI FoundryAzure OpenAI ServiceCopilot StudioAgentic AI ArchitectureLarge Language Models (LLMs)RAG ArchitecturePrompt EngineeringAI Governance and Responsible AIMLOps and AI OperationsApplication <Development.NET> / Java / Node.jsReact / AngularMobile Application PlatformsAPI ManagementEvent Driven ArchitectureMicroservices ArchitectureDistributed Systems DesignData PlatformsMicrosoft FabricAzure DatabricksAzure Data FactorySynapse AnalyticsSQL / NoSQL DatabasesData Lake ArchitecturesVector DatabasesSecurityZero Trust ArchitectureIdentity and Access ManagementMicrosoft Entra IDApplication SecurityDevSecOpsData Protection and GovernanceAI Security ControlsIntegrationEnterprise Integration PatternsAPI StrategyEvent StreamingMessaging PlatformsPower Platform IntegrationMicrosoft 365 IntegrationLeadership ExpectationsAct as technical leader for complex transformation programs.Mentor architects, engineers, and <consultants.Build> reusable patterns, accelerators, and reference <architectures.Drive> architecture governance and technical quality reviews.Influence customer executives and senior stakeholders.Contribute to practice development and thought leadership.Lead innovation and adoption of emerging AI capabilities.QualificationsExperience RequirementsRequired10+ years of enterprise application and solution architecture experience.5+ years of cloud architecture experience.Experience delivering large-scale digital transformation programs.Experience designing and implementing AI-enabled business solutions.Strong stakeholder management and executive communication skills.Experience leading cross-functional architecture and engineering teams.PreferredEnterprise architecture <certification.Azure> Solutions Architect <certification.Azure> AI Engineer certification.Copilot Studio and Agentic AI experience.Experience in regulated industries such as Financial Services, Manufacturing, Energy, Healthcare, or Public Sector. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is <filled.Microsoft> is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.