Apps & AI Solution Architect

Microsoft 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.

Responsibilities

Key Responsibilities

Solution Architecture & Design

• Define 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 Solutions

• Design 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 Architecture

• Architect 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 Architecture

• Design 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 & Compliance

• Ensure 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 Advisory

• Translate 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 Skills

Cloud & Infrastructure

• Microsoft Azure
• Azure Landing Zones
• Cloud Native Architecture
• Containers and Kubernetes
• Serverless Computing
• Hybrid and Multi-Cloud Patterns

AI & Machine Learning

• Azure AI Foundry
• Azure OpenAI Service
• Copilot Studio
• Agentic AI Architecture
• Large Language Models (LLMs)
• RAG Architecture
• Prompt Engineering
• AI Governance and Responsible AI
• MLOps and AI Operations

Application Development

• .NET / Java / Node.js
• React / Angular
• Mobile Application Platforms
• API Management
• Event Driven Architecture
• Microservices Architecture
• Distributed Systems Design

Data Platforms

• Microsoft Fabric
• Azure Databricks
• Azure Data Factory
• Synapse Analytics
• SQL / NoSQL Databases
• Data Lake Architectures
• Vector Databases

Security

• Zero Trust Architecture
• Identity and Access Management
• Microsoft Entra ID
• Application Security
• DevSecOps
• Data Protection and Governance
• AI Security Controls

Integration

• Enterprise Integration Patterns
• API Strategy
• Event Streaming
• Messaging Platforms
• Power Platform Integration
• Microsoft 365 Integration

Leadership Expectations

• Act 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.

Qualifications

Experience Requirements

Required

• 10+ 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.

Preferred

• Enterprise 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.