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AI Native Architect

Pan-India

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Full Time-Remote

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10-15 years

Primary Responsibility:

You will be responsible for designing enterprise-scale cloud architectures while leading the adoption of AI-native engineering practices across the software development lifecycle. You will collaborate with engineering leadership to build secure, scalable, and resilient solutions, establish AI governance and guardrails, modernize legacy applications, and mentor teams in delivering high-quality cloud-native applications using modern architectural principles.

Job Specification:

  • Design scalable, secure, and cloud-native enterprise architectures using Azure and modern microservices patterns.

  • Lead AI-native software delivery by implementing agentic AI, AI-assisted development, and AI governance across the ADLC.

  • Drive legacy application modernization and cloud transformation using modern architectural best practices.

  • Mentor engineering teams, define architectural standards, and collaborate with business and engineering stakeholders to deliver high-quality solutions.

  • Implement secure APIs, cloud-native services, containerized applications, and enterprise security standards.

  • Provide architectural leadership during production incidents while continuously improving engineering processes and technical excellence

Required Skills & Tools:

  • Microsoft Azure Cloud Services

  • AI-Native Engineering (LangGraph, Semantic Kernel, AutoGen, Claude Agent SDK)

  • AI-Assisted Development (Claude Code, GitHub Copilot, Codex)

  • .NET Core / Modern .NET, C#, or Java

  • Microservices Architecture & REST APIs

  • Docker, Kubernetes

  • Clean Architecture, SOLID Principles & Design Patterns

  • OpenAPI (Swagger)

  • SQL Server, PostgreSQL, MySQL

  • MongoDB, Couchbase

  • Redis or Memcached

  • OAuth2, OpenID Connect (OIDC), JWT

  • Entra ID, Okta, Auth0

  • RAG Architecture, Vector Databases, Hybrid Search

  • AI Guardrails, Prompt Engineering & Output Validation

Preferred Skills:

  • Strong Leadership and Technical Mentoring Skills

  • Excellent Business and Technical Communication

  • Strategic Thinking and Enterprise Solution Design

  • Strong Problem-Solving and Critical Thinking Abilities

  • Experience in AI Governance and Change Management

  • Ability to Drive Innovation and AI Adoption Across Engineering Teams

  • Cross-Functional Collaboration in Global Teams

  • Ownership, Accountability, and Continuous Learning Mindset

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