Architect, Applications & Platforms - R01569772

Brillio 2
Bangalore +1 more
On-site

Who this role is best for

Strong fit for mid-level architects with Azure cloud-native and AI/GenAI expertise who can design and implement enterprise healthcare platforms.

Best fit for

  • Mid-level professionals with 7–10 years of experience in Azure development and AI integration
    — “7 to 10 years of experience, including substantial hands-on expertise in Azure development, full stack architecture, and AI integration within enterprise platforms”
  • Candidates who have led modern web application design and API-first architecture governance
    — “Lead the design and governance of modern web applications and member portals using responsive UI frameworks and API-first architecture”
  • Individuals with hands-on experience building cloud-native solutions on Azure and Kubernetes
    — “Design and implement cloud-native distributed applications on Azure, including CAF-aligned solutions, Kubernetes/OpenShift deployment, and Infrastructure-as-Code strategies”

Things to consider

  • Certifications are mandatory, including Azure Solutions Architect Expert and AI/ML credentials
    — “Microsoft Certified: Azure Solutions Architect Expert”
  • Healthcare domain knowledge is a key differentiator for this role
    — “Healthcare domain knowledge in provider search, benefits navigation, and contact center integration Desired”

How to stand out

  • Highlight experience with conversational AI and Retrieval Augmented Generation in your resume and interviews
    — “Drive implementation of conversational AI, Retrieval Augmented Generation (RAG), agentic workflows, and prompt engineering frameworks”
  • Emphasize your track record in designing microservices and event-driven systems for enterprise integration
    — “Establish and enforce microservices, integration, and event-driven system patterns to enable seamless enterprise and healthcare domain integration”
  • Showcase your ability to mentor engineering teams and drive measurable outcomes
    — “Mentor engineering teams on architectural best practices, technical planning, and delivery governance to drive continuous improvement and measurable outcomes”
  • Demonstrate hands-on skills in Infrastructure-as-Code and cloud-native deployment practices
    — “Design and implement cloud-native distributed applications on Azure, including ... Infrastructure-as-Code strategies”
  • Include projects involving healthcare API integration, such as provider directories or claims status systems
    — “Architect healthcare domain integrations, including provider directory, benefits eligibility, cost estimation, claims status APIs”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • architecting end-to-end technology solutions
  • designing and implementing cloud-native distributed applications
  • establishing CI/CD and DevSecOps practices
Typical background
7 to 10 years of experience in Azure developmentsubstantial hands-on expertise in Azure cloud-native services

Skills & requirements

Required

Azure Cloud-native ServicesFull Stack ArchitectureAI IntegrationMicroservicesApi-first ArchitectureCI/CDDevSecOpsKubernetesInfrastructure-as-code

Preferred

TerraformOpenshiftSemantic SearchVector RetrievalAI GuardrailsHealthcare Domain Knowledge

Stack & domain

Azure Service BusAzure API ManagementAzure Storage QueuesAzure Logic AppsAzure AKSAzure Content Delivery NetworkAzure App ServiceAzure FunctionsNext.jsNode.jsKubernetesTerraformOpenshiftSemantic SearchVector RetrievalLarge Language Model (llm) IntegrationsAI GuardrailsResponsible AI ControlsMicrosoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Azure AI Engineer AssociateHealthcareEnterprise

About the role

Original posting from Brillio 2 via Lever

Architect, Applications & Platforms

Primary Skills:

  • Azure Service Bus, Azure API Management, Azure Storage Queues, Azure Logic Apps, Azure AKS, Azure Content Delivery Network, Azure App Service, Azure Functions

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:

  • 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

Preferred Skills:

  • 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 Desired

Qualifications:

  • 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)

Source: Brillio 2 careers (Lever)

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