7 days ago
Thailand (city not specified)Senior
Responsibilities
- Engage customer executives and technical stakeholders to define outcome-based Apps and AI transformation solutions.
- Create architecture visions, value propositions, modernization strategies, target architectures, transition roadmaps, decisions, and risk plans.
- Architect enterprise application modernization using cloud-native, API, microservices, container, serverless, integration, event-driven, and platform engineering patterns.
- Design Generative AI and Agentic AI applications incorporating RAG, enterprise knowledge, tools, grounding, orchestration, memory, workflows, and evaluation.
- Lead technical discovery, architecture workshops, demonstrations, proofs of concept, estimation, and solution proposals with sales, engineering, delivery, consulting, and partner teams.
- Establish architecture principles, standards, quality gates, and governance across design, development, testing, deployment, production, and optimization.
- Embed security, identity, privacy, Responsible AI, observability, resilience, compliance, and operational controls into architectures.
- Guide consultants, engineers, and partners through delivery while managing technical dependencies, risks, and complex design challenges.
- Develop reusable reference architectures, modernization patterns, agent skills, architecture decision records, and solution accelerators.
- Mentor architects and technical professionals and communicate architecture and business value to senior stakeholders.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Technology, Business, or a related field and 6+ years of relevant experience, or equivalent experience.
- Experience shaping and architecting enterprise application modernization, cloud-native, Generative AI, Agentic AI, or digital transformation solutions.
- Experience with modern application architecture patterns including APIs, microservices, containers, serverless, integration, event-driven architecture, and cloud-native development.
- Experience designing AI-powered or Agentic AI solutions involving RAG, grounding, tool or function calling, reusable skills, workflows, orchestration, memory, and evaluation.
- Knowledge of Microsoft Azure, Azure AI, Azure OpenAI, Azure Kubernetes Service, Azure App Service, Azure Functions, API Management, GitHub, and related technologies.
- Understanding of Git, CI/CD, Infrastructure as Code, automated testing, observability, and secure software development.
- Experience translating business requirements into architecture strategies, roadmaps, solution designs, delivery approaches, estimates, risks, and measurable success criteria.
- Experience taking solutions from envisioning and proof of concept through secure, scalable production deployment and adoption.
- Understanding of application and AI security, identity, privacy, Responsible AI, resilience, observability, compliance, performance, and cost optimization.
- Strong executive communication, customer consulting, solution-shaping, problem-solving, and stakeholder-management abilities.
- Ability to independently lead complex architecture workstreams and influence decisions across business, sales, engineering, delivery, and partner teams.
- Preferred qualifications include 12+ years of relevant experience, deep Azure and AI architecture expertise, end-to-end technical presales leadership, complex modernization program experience, enterprise-scale AI application experience, and experience with GitHub Copilot and AI-native engineering.
- Relevant Azure, architecture, delivery, DevOps, security, TOGAF, Agile, Scrum, PMP, or Change Management certifications are advantageous.
- Ability to mentor architects and engineers, lead technical communities, and contribute thought leadership across Apps and AI.
Benefits
- Microsoft is an equal opportunity employer and provides consideration without regard to legally protected characteristics.
- Reasonable accommodations are available during the application process.
- The position is open for a minimum of five days, with applications accepted on an ongoing basis until filled.
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.