Solution Architecture

Microsoft is on a mission to empower every person and every organization on the planet to achieve more Our culture is centered on embracing a growth mindset inspiring excellence and encouraging teams and leaders to bring their best each day In doing so we create life-changing innovations that impact billions of lives around the world You can help us achieve our mission Microsoft Services India Global Delivery delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies We are looking for exceptional architects who have a passion to lead large complex innovative programs for customers now with a focus on AI-driven transformation Role Purpose The Application AI Architect is a critical role in the solution implementation lifecycle cutting across all phases Architects are technical leaders with a strong understanding of both application and AI technologies and the ability to apply them to drive business outcomes This role leads solution architecture technical design and governance throughout the lifecycle of Azure Cloud and AI-based solutions Architects have a passion for the customer demonstrated through professionalism and striving for excellence in all aspects of the customer experience Responsibilities Lead client engagements from definition through delivery to ensure technical and AI transformation success for our customers Collaborate with enterprise customers to scope and define requirements architect and design solutions and deliver transformational customized industry solutions and services including AI-powered applications Ensure all solutions exhibit high levels of performance security scalability maintainability repeatability appropriate reusability and reliability upon deployment Develop deep relationships with key customer decision makers both Business and IT who drive long-term innovation and transformation to our customers product roadmap Be a Voice of Customer to share insights and best practices connect with Engineering teams to remove key blockers and drive product improvements Proactively identify opportunities for integrating modern architecture patterns and emerging technical solutions including AI machine learning and generative AI into current designs Evaluate identify mitigate and eliminate risk provide guidance and propose immediate solutions Communicate effectively with all stakeholders including senior customer executives Enterprise Architects Developers Data Scientists and IT Management Lead deep technical architecture discussions and development of POCs including AI solution prototypes Guide customers to production deployment and operationalization of both application and AI solutions Apply technical knowledge and expertise to architect and design solutions that meet business and IT needs create solution roadmaps drive POCs and MVPs and ensure long-term technical viability of new deployments infusing key technologies where appropriate Collaborate with other Architects and technology stakeholders to develop complex end-to-end Enterprise grade solutions Create exceptional cross-team collaboration and communication Partner with all required Microsoft stakeholders and partners to drive role clarity account coverage project assignment and effective cross-team collaboration Ensure delivery of high-quality production deployments that are resilient and successful Coach and enable your team members to accelerate innovation programs to production including guidance on architectural design technical recommendations blocker escalations and technical resource orchestration Technology Areas Application Development Extensive experience in implementing operating customizing tuning and troubleshooting Cloud solutions Designing scalable solutions on cloud platforms with focus on performance and resiliency utilizing microservices architectures Engineering distributed applications within architectural scenarios such as Web IoT and AI-powered systems Application design patterns and anti-patterns such as MVC CQRS SAGA Interacting with and querying databases and or NoSQL datastores Application monitoring and end-to-end telemetry Containers for packaging application deployment units and interacting with container-orchestration technologies such as Kubernetes Service Fabric Cloud Foundry Defining CI CD pipelines to automate test and release across different application environments using concepts such as Blue Green and Canary deployments and related technologies Source code management using Git or other source control technologies Open source technologies and frameworks AI Data Science Experience architecting designing and deploying AI solutions using Azure AI or other similar cloud services Proficiency in building training and operationalizing machine learning models including generative AI and LLMs Familiarity with AI solution design patterns responsible AI principles and ethical AI practices Hands-on experience with AI agentic frameworks multi-agent orchestration and integration of AI agents into enterprise applications Programming skills in Python R and or C for AI development Knowledge of AI certifications and demonstrated learning in the merging areas of AI Stack Design and Implementation approach towards Data governance logging and lineage for AI solutions Experience with cloud databases such as Azure SQL Azure Database for PostgreSQL MySQL MariaDB and Azure Cosmos DB Data pipeline creation ETL ELT processes and managing large datasets structured and unstructured Microservices Core Infrastructure Comprehensive expertise in microservices Docker and Kubernetes Proficient with Kubernetes ecosystem such as DAPR ISTIO HELM Linkerd Software architecture data structures modern design patterns and network protocols Source control experience including branching merging and rebasing Running microservices and container-based workloads in production Modelling cloud infrastructure based on application scale and capacity needs providing data-driven recommendations to optimize application architecture and performance Use of architectural patterns and anti-patterns for resiliency and geo-availability Management monitoring and operations at-scale preferably in a cloud environment Security and governance with a strong proficiency in defining and modelling security baselines Infrastructure-as-Code to build test and deploy infrastructure for application environments Strong working knowledge of security controls such as encryption AuthN AuthZ Zero Trust Framework principles Experience supporting large and complex geographically distributed enterprise environments with 10 000 users OS Internals concepts load balancing geo-redundancy CDN and VPN technologies Other Embody our and Qualifications 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 OR 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 OR equivalent experience Additional or Preferred Qualifications Bachelor s Degree in Computer Science Information Technology Engineering or related field AND 20 years experience in technology solutions practice development architecture consulting and or technology domain OR Master 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 OR equivalent experience 6 years technical sales experience 6 years project management experience Technical or Professional Certification in AI Domain Inclusive and collaborative - driving teamwork and cross-team alignment Strong partner relationship management and solution development skills Conversant knowledge of competing platforms and solutions Proven track record of building deep relationships with CXOs Strong executive presence including communication and presentation skills with a high degree of comfort to large and small technical audiences Problem solving mentality leveraging internal and or external resources conflict resolution and follow through with partners Orchestration of application and AI development lifecycle Experience in vertical industries proven by projects solutions implemented with substantial business processes covering Financial and Insurance Manufacturing Consumer Goods Healthcare Life Sciences Retail or other business to consumer industry scenarios Demonstrable architecture design implementation and or support of complex application and AI architectures Candidates must also demonstrate ability to adapt to new technologies learn quickly and understand relevant cloud and AI trends Microsoft is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex including pregnancy sexual orientation or any other characteristic protected by applicable laws regulations and ordinances We also consider qualified applicants regardless of criminal histories consistent with legal requirements If you need assistance and or a reasonable accommodation due to a disability during the application or the recruiting process please send a request via the