DepartmentDigital Engineering, Digital Engineering : Digital Engineering
Company size5,001–10,000 people
PostedAug 13, 2026 · 2mo ago
Verified live11h ago
At a glanceSummarised by Seekless from the posting.
Must have10
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)
Nice to have6
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
7 to 10 years of experience, including substantial hands-on expertise in Azure development, full stack architecture, and AI integration within enterprise platforms
Responsibilities
Key Responsibilities:
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Architect and define end-to-end technology solutions across web, API, backend, data, and AI layers, ensuring scalability, resilience, and security
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Lead the design and governance of modern web applications and member portals using responsive UI frameworks and API-first architecture
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Establish and enforce microservices, integration, and event-driven system patterns to enable seamless enterprise and healthcare domain integration
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Drive implementation of conversational AI, Retrieval Augmented Generation (RAG), agentic workflows, and prompt engineering frameworks for intelligent platform experiences
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Architect healthcare domain integrations, including provider directory, benefits eligibility, cost estimation, claims status APIs, and contact center handoff
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Design and implement cloud-native distributed applications on Azure, including CAF-aligned solutions, Kubernetes/OpenShift deployment, and Infrastructure-as-Code strategies
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Establish CI/CD and DevSecOps practices, ensuring robust observability, monitoring, performance, and security across platforms
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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
Nice to have
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)