Responsibilities
- Architect and define scalable, resilient, secure end-to-end solutions across web, API, backend, data, and AI layers.
- Lead the design and governance of modern web applications and member portals using responsive UI frameworks and API-first architecture.
- Establish microservices, integration, and event-driven patterns for enterprise and healthcare domain integration.
- Drive conversational AI, Retrieval Augmented Generation, agentic workflow, and prompt engineering implementations.
- Architect healthcare integrations for provider directories, benefits eligibility, cost estimation, claims status APIs, and contact center handoffs.
- Design and implement Azure cloud-native distributed applications, including CAF-aligned solutions, Kubernetes/OpenShift deployments, and Infrastructure-as-Code.
- Establish CI/CD and DevSecOps practices with observability, monitoring, performance, and security controls.
- Mentor engineering teams on architecture, technical planning, governance, and continuous improvement.
Requirements
- 7–10 years of experience with substantial hands-on expertise in Azure development, full-stack architecture, and AI integration within enterprise platforms.
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline.
- Architectural expertise in Azure cloud-native services and full-stack development using Next.js and Node.js.
- Experience designing and orchestrating microservices, API-first architectures, Kubernetes/AKS solutions, Infrastructure-as-Code, and healthcare API and enterprise-system integrations.
- Experience implementing conversational AI and Retrieval Augmented Generation solutions.
- Preferred experience with Terraform, OpenShift, event-driven architectures, semantic search, vector retrieval, LLM optimization, AI guardrails, responsible AI controls, and healthcare domain integrations.
- Microsoft Certified: Azure Solutions Architect Expert certification and an AI or Machine Learning certification, such as Microsoft Certified: Azure AI Engineer Associate or equivalent, are desired qualifications.
Tech Stack
Categories
About Brillio
Brillio is The Enterprise AI Accelerator helping Fortune 1000 companies move from AI ambition to scaled impact, faster. Powered by our AI accelerator platform - Agentic Data and Application Management (ADAM), Brillio is one of the fastest-growing digital technology service providers, delivering transformation across five core workstreams: business-led transformation, customer experience transformation, AI and data engineering, digital engineering, and infrastructure engineering. With 14 delivery locations across North America, Europe, and Asia and a team of over 6,000 customer-obsessed professionals, Brillio combines deep industry expertise, modern engineering, and accelerators to deliver measurable outcomes. Brillio accelerates AI by industrializing it across every layer of the business so companies don't just use AI, they operate by it, at reliable enterprise scale.