About the role
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:
- With at least 2 to 4 years of hands-on experience in AI-powered healthcare solution development and Azure cloud engineering
Key Responsibilities:
- Design and develop AI-powered healthcare solutions leveraging large language models and Generative AI services to enhance member experiences
- Build and enhance conversational healthcare assistants, implementing intelligent workflows for personalized member service journeys
- Develop Retrieval-Augmented Generation (RAG) solutions, including semantic search, healthcare knowledge retrieval, and integration with vector databases and enterprise knowledge sources
- Engineer and orchestrate AI agents for complex healthcare workflows, implementing multi-step reasoning, tool-calling patterns, and workflow automation
- Enable healthcare member experience features such as provider search, facility search, symptom guidance, benefits and coverage guidance, cost estimation, claims status, and contact center escalation
- Collaborate with AI architects and platform teams to implement AI Gateway integrations, LLM routing and orchestration, prompt management, transcript logging, observability, guardrails, and evaluation frameworks
- Develop and optimize APIs, backend services, and chatbot interfaces, integrating AI models into web-based applications while ensuring performance, latency, and cost efficiency
- Ensure AI solutions adhere to healthcare privacy requirements, implementing guardrails, monitoring, safety mechanisms, and supporting HIPAA and Responsible AI compliance
Required Skills
- Node.js
- TypeScript
- Next.js
- Microsoft Azure
- Azure AI Services
- Retrieval-Augmented Generation (RAG)
- Vector database integration
- Semantic search
- API development
- LLM orchestration
Preferred Skills
- Knowledge graph engineering
- Healthcare ontology modeling
- Azure Service Bus
- Azure API Management
- Azure Storage Queues
- Azure Logic Apps
- Azure Kubernetes Service (AKS)
- Azure Content Delivery Network
- Azure App Service
- Azure Functions
- Advanced prompt engineering
- AI evaluation frameworks
- Observability tools
- Workflow automation with agentic architectures
Desired Qualifications
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
- Microsoft Certified: Azure AI Engineer Associate
- Certification in Responsible AI or HIPAA healthcare data privacy