Architect, Applications & Platforms - R01569772
On-siteBengaluru, Karnataka, India
Job Summary
Architect end-to-end technology solutions across web, API, backend, data, and AI layers, ensuring scalability, resilience, and security. Lead design and governance of modern web applications and member portals using responsive UI frameworks and API-first architecture. Establish microservices, integration, and event-driven system patterns to enable seamless enterprise and healthcare domain integration. Drive implementation of conversational AI, Retrieval Augmented Generation, and agentic workflows. Architect healthcare domain integrations including provider directory, benefits eligibility, and claims status APIs. Design cloud-native distributed applications on Azure with Kubernetes/OpenShift deployment and Infrastructure-as-Code strategies. Establish CI/CD and DevSecOps practices with robust observability and security. Mentor engineering teams on architectural best practices and delivery governance. Requires 7 to 10 years of experience in Azure development and full stack architecture.
Required Qualifications
- 7 to 10 years of experience, including substantial hands-on expertise in Azure development, full stack architecture, and AI integration within enterprise platforms
- Architectural expertise in Azure cloud-native services
- Full stack development with Next.js (frontend) and Node.js (backend)
- Design and orchestration of microservices and API-first architectures
- Implementation of AI/GenAI solutions, including conversational AI and Retrieval Augmented Generation
- Experience with Kubernetes (AKS) and Infrastructure-as-Code
- Integration of healthcare APIs and enterprise systems
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
- Microsoft Certified: Azure Solutions Architect Expert
- Certification in AI or Machine Learning (such as Microsoft Certified: Azure AI Engineer Associate or equivalent)
Desired Qualifications
- Hands-on experience with Terraform for Infrastructure-as-Code
- Knowledge of OpenShift and event-driven architectures
- Expertise in semantic search and vector retrieval for AI applications
- Experience in optimizing Large Language Model (LLM) integrations
- Familiarity with AI guardrails and responsible AI controls
- Healthcare domain knowledge in provider search, benefits navigation, and contact center integration
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