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Architect, Apps & AI

Microsoft


Job Location:

Hyderabad - India

Monthly Salary: Not provided by the employer
Posted: 6 October 2026 (20 hours ago)
Application Deadline: 3 January 2027
Vacancies: 1 Vacancy

Job Summary

Overview

MicrosoftIndustry Solutions -Global Center Innovation and Delivery Center (GCID) delivers end-to-end solutionsby enabling accelerated adoption and productive use of Microsoft organization of well over 1000 exceptional peopleGCIDpresents a greatopportunity for highly skilled services professionals to make a foray intoconsulting solution development and delivery roles.

The Architect is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients senior leadership delivery managers project managers and delivery the AI-first GCID organization Architect(s) are expected to embed AI-native thinking into delivery models ensuring solutions are intelligent scalable and aligned with business outcomes. The ideal candidate is passionate about technology demonstrates breadth of expertise and advocates for solutions that deliver true client value.



Responsibilities

AI-First Delivery Leadership

  • Embed AI-first principles into delivery workflows leveraging automation and intelligent orchestration where applicable.
  • Own the Architecture and drive end-to-end delivery of complex projects ensuring solutions are scalable robust and aligned with client business outcomes.
  • Drive engineering excellence through reusable components accelerators and scalable architecture.
  • Oversee technical execution across multiple projects ensuring adherence to best practices quality standards and compliance requirements.
  • Collaborate with clients and internal stakeholders to define strategies delivery plans milestones and risk mitigation approaches.
  • Act as a technical point of contact for clients translating business requirements into scalable technical solutions.
  • Ensure delivery models are optimized for modern AI-native execution including integration of automation and intelligent processes.
  • Ability to step into atrisk projects quickly assess issues and establish a credible path to recovery or exit.

Engineering Excellence

Promote high-quality engineering throughout all projects. Enforce coding standards architectural integrity and performance goals. Establish secure coding TDD and observability practices. Support ongoing learning and certifications. Advance modern methodologies like Agile DevOps and CI/CD for scalable solutions. Build a team culture of technical rigor innovation and accountability.

Innovation & Thought Leadership

Track new technologies to guide strategy. Drive innovation in delivery assets and tools for better efficiency. Promote best practices and continuous improvement across teams.

Client Engagement & Solutioning

Apply design thinking to develop user-centric solutions that also support business objectives architecture and project delivery. Collaborate with clients to identify their needs and provide guidance throughout each stage of the project. Participate in pre-sales and solutioning activities by preparing estimates proofs-of-concept and technical proposals. Additionally maintain strong client relationships to ensure satisfaction and ongoing value.

Team Management & Mentorship

Lead cross-functional teams promote learning and collaboration and uphold technical standards. Review work offer feedback and support team growth.

Quality & Compliance

Ensure secure compliant and reliable solution delivery through secure coding testdriven development observability design reviews and quality gates across all engagements

Other



Qualifications
  • 20 years of experience in software/solution engineering with at least 1015 years as Architect and delivery leadership roles.
  • Proven experience in leading delivery of complex multi-disciplinary projects.
  • Strong understanding of modern delivery methodologies (Agile Scrum DevOps etc.).
  • Excellent communication stakeholder management problem-solving and team leadership skills.
  • Bachelors degree in computer science Engineering or related field (or equivalent experience).
  • Relevant certifications are a plus.

Areas of Expertise

Full Stack Application Engineering

    • End-to-end design and development of modern web and mobile applications using React Angular Blazor or equivalent frameworks
    • Strong backend expertise / Java / / Python with clean architecture domain-driven design and API-first principles
    • Experience building microservices and distributed systems using REST gRPC event-driven patterns and asynchronous processing
    • Hands-on expertise with relational and NoSQL databases (Azure SQL PostgreSQL Cosmos DB) and performance tuning
    • Strong understanding of state management scalability resiliency and application security

AI Driven Application Development

  • Proven expertise in AIdriven application development embedding intelligence directly into modern cloudnative applications.
  • Extensive handson experience using GitHub Copilot as a core engineering capability to accelerate solution design coding refactoring testing and documentation across delivery teams.
  • Demonstrated ability to foster a Copilotassisted engineering culture (vibe) - enabling rapid iteration AI pairprogramming explainasyoubuild workflows and highvelocity delivery without compromising engineering quality.
  • Strong experience modernizing application landscapes using GitHub Copilotassisted approaches including rapid codebase comprehension dependency analysis largescale refactoring and migration to cloudnative and AIenabled architectures.
  • Effective use of GitHub Copilot across the entire SDLC from solutioning and scaffolding through CI/CD automation test generation production readiness and operational excellence.
  • Ability to coach and enable teams and customers on effective Copilot usage patterns prompt strategies and safe AIassisted engineering practices in enterprise environments.
  • Apply Responsible AI principles across design and delivery incorporating security privacy governance and compliance controls into productiongrade engineering workflows.

AI-Enabled Application Development

  • Ability to translate business scenarios into productiongrade AI solutions using Azure OpenAI Azure AI Services Azure AI Foundry and custom ML models with handson delivery of RAG architectures leveraging Azure AI Search vector databases enterprise data grounding and integration patterns.
  • Strong expertise in prompt engineering context management grounding strategies and LLM integration for copilots conversational interfaces intelligent workflows and decisionsupport applications.
  • Proven experience designing and implementing singleagent and multiagent AI systems including task boundaries tool invocation memory management collaboration delegation and coordination using frameworks such as Semantic Kernel LangChain and LangGraph.
  • Deep understanding of agentic workflows combining LLM reasoning with external tools APIs and enterprise data sources alongside agent lifecycle management - planning execution retries failure handling and humanintheloop patterns.
  • Designs enterpriseready AI solutions with builtin observability and operational excellence including telemetry prompt tracing agent behavior logging model metrics experimentation drift monitoring and cost/performance optimization while applying Responsible AI principles across security privacy governance and compliance - balancing speed quality and enterprise constraints at scale.

Cloud-Native Architecture (Azure)

    • Deep experience designing cloudnative PaaSfirst solutions on Azure prioritizing managed services over IaaS to improve scalability resilience security and operational efficiency.
    • Proven expertise in architecting and delivering solutions using Azure App Service Azure Container Apps AKS Azure Functions and API Management selecting the right compute model based on workload characteristics and business needs.
    • Strong working knowledge of identity security and networking architectures including Microsoft Entra ID RBAC Managed Identity Key Vault integration private endpoints and VNETintegrated application deployments.
    • Design and implementation of architectures that support high availability horizontal scalability disaster recovery and fault tolerance including multiregion deployment patterns and resiliency strategies.
    • Experience in costaware architecture design applying cost optimization strategies such as rightsizing autoscaling consumptionbased services and proactive cost governance.
    • Apply Microsoft WellArchitected Framework principles across reliability security performance efficiency operational excellence and cost optimization incorporating architecture reviews and continuous improvement into delivery.
    • Handson experience building cloudready landing patterns integrating application architectures with enterprise networking security baselines and platform standards.

DevOps Platform & Developer Productivity

    • Strong expertise in designing and operating CI/CD pipelines using Azure DevOps and GitHub Actions enabling automated build test security scanning and deployment workflows across environments.
    • Proven handson experience with InfrastructureasCode (IaC) using Bicep ARM and Terraform leveraging GitHub Copilot to scaffold modules generate templates and propose secure configurations aligned with enterprise standards.
    • Deep understanding of observability and reliability engineering including centralized logging metrics distributed tracing SLOs and proactive alerting for production systems.
    • Demonstrated ability to enhance developer productivity and delivery velocity through innersource practices reusable components reference implementations accelerators and automation.
    • Experience embedding DevSecOps practices into delivery pipelines including secure coding checks dependency scanning secrets management policy enforcement and compliance validation.
    • Effective use of GitHub Copilot across the DevOps lifecycle including authoring pipeline definitions generating runbooks and release notes assisting with PR summaries and accelerating troubleshooting and incident response.
    • Strong grasp of platform engineering principles building pavedroad solutions and selfservice capabilities that balance speed governance and operational excellence.
    • Ability to continuously improve engineering throughput quality and system reliability while maintaining enterprise security and compliance expectations.

Solutioning Pre-Sales & Technical Leadership

    • Lead technical solutioning estimations and support architecture design during pre-sales and delivery shaping
    • Translate business outcomes into clear architecture execution plans and risk mitigation strategies
    • Influence technical direction across multiple teams and engagements
    • Act as a trusted advisor to clients and internal leadership

Frontier Engineering & Customer Enablement Skills

    • Lead rapid prototyping pilots and early-stage deployments for enterprise customers
    • Ability to go from whiteboard to production with minimal friction
    • Strong troubleshooting and production support expertise including performance reliability and security issues
    • Sidebyside coding with customer engineering teams to unblock deployments and accelerate time to value
    • Outcomedriven engineering focused on business impact not activity
    • Building reusable assets accelerators and reference implementations
    • Comfortable operating in ambiguous high-pressure environments with C-Level customer stakeholders

Personal Attributes

  • Passion for technology and innovation.
  • Ability to interact confidently with senior leaders and clients.
  • Strong decision-making skills and a consultative mindset.
  • Flexibility to manage in a fast-moving ambiguous consulting environment.
  • Commitment to continuous learning and professional growth.

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.


Required Experience:

IC