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
