Architect, Applications & Platforms – R01569772

Brillio; Bengaluru; On-site; INR 300,000 - 550,000; Full time

Job summary

Brillio seeks an experienced Architect to define end-to-end technology solutions across web, API, data, and AI layers in Bengaluru. You will drive scalable, secure, cloud-native architectures and mentor teams to deliver enterprise-grade platforms.

Responsibilities include microservices, API-first designs, AI/GenAI integrations, healthcare interoperability, and CI/CD with DevSecOps on Azure. This role combines hands-on architecture with governance for tangible outcomes.

Qualifications

• 7 to 10 years of experience in Azure development, full stack architecture, and AI integration within enterprise platforms.

Responsibilities

• Architect and define end-to-end technology solutions across web, API, backend, data, and AI layers, ensuring scalability, resilience, and security
• Lead the design and governance of modern web applications and member portals using responsive UI frameworks and API-first architecture
• Establish and enforce microservices, integration, and event-driven system patterns to enable seamless enterprise and healthcare domain integration
• Drive implementation of conversational AI, Retrieval Augmented Generation (RAG), agentic workflows, and prompt engineering frameworks for intelligent platform experiences
• Architect healthcare domain integrations, including provider directory, benefits eligibility, cost estimation, claims status APIs, and contact center handoff
• Design and implement cloud-native distributed applications on Azure, including CAF-aligned solutions, Kubernetes/OpenShift deployment, and Infrastructure-as-Code strategies
• Establish CI/CD and DevSecOps practices, ensuring robust observability, monitoring, performance, and security across platforms
• Mentor engineering teams on architectural best practices, technical planning, and delivery governance to drive continuous improvement and measurable outcomes

Skills

Azure cloud-native services

Next.js

Node.js

Microservices

Kubernetes (AKS)

Healthcare APIs integration

Education

Bachelor's degree in Computer Science/IT/Software Engineering

Microsoft Certified: Azure Solutions Architect Expert

Azure AI Engineer Associate or similar AI/ML certification

Tools

Terraform

OpenShift

Vector search / semantic search tooling

Job description

Architect, Applications & Platforms - R01569772

Architect, Applications & Platforms

Primary Skills

Job requirements

Experience Range

• 7 to 10 years of experience, including substantial hands-on expertise in Azure development, full stack architecture, and AI integration within enterprise platforms

Key Responsibilities

• 1. Architect and define end-to-end technology solutions across web, API, backend, data, and AI layers, ensuring scalability, resilience, and security
• 2. Lead the design and governance of modern web applications and member portals using responsive UI frameworks and API-first architecture
• 3. Establish and enforce microservices, integration, and event-driven system patterns to enable seamless enterprise and healthcare domain integration
• 4. Drive implementation of conversational AI, Retrieval Augmented Generation (RAG), agentic workflows, and prompt engineering frameworks for intelligent platform experiences
• 5. Architect healthcare domain integrations, including provider directory, benefits eligibility, cost estimation, claims status APIs, and contact center handoff
• 6. Design and implement cloud-native distributed applications on Azure, including CAF-aligned solutions, Kubernetes/OpenShift deployment, and Infrastructure-as-Code strategies
• 7. Establish CI/CD and DevSecOps practices, ensuring robust observability, monitoring, performance, and security across platforms
• 8. Mentor engineering teams on architectural best practices, technical planning, and delivery governance to drive continuous improvement and measurable outcomes

Required Skills

• 1. Architectural expertise in Azure cloud-native services
• 2. Full stack development with Next.js (frontend) and Node.js (backend)
• 3. Design and orchestration of microservices and API-first architectures
• 4. Implementation of AI/GenAI solutions, including conversational AI and Retrieval Augmented Generation
• 5. Experience with Kubernetes (AKS) and Infrastructure-as-Code
• 6. Integration of healthcare APIs and enterprise systems

Preferred Skills

• 1. Hands-on experience with Terraform for Infrastructure-as-Code
• 2. Knowledge of OpenShift and event-driven architectures
• 3. Expertise in semantic search and vector retrieval for AI applications
• 4. Experience in optimizing Large Language Model (LLM) integrations
• 5. Familiarity with AI guardrails and responsible AI controls
• 6. Healthcare domain knowledge in provider search, benefits navigation, and contact center integration

Desired

Qualifications

• 1. Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
• 2. Microsoft Certified: Azure Solutions Architect Expert
• 3. Certification in AI or Machine Learning (such as Microsoft Certified: Azure AI Engineer Associate or equivalent)