Role OverviewThe Application Architect L1 will lead the design of scalable, secure, and high-performance AI/ML systems, leveraging Agentic Layer A2A frameworks and MCP Protocols. They will drive end-to-end solution development, including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.
What You Will Do
The main day-to-day responsibilities will include architecting and designing AI/ML systems, driving solution development, and overseeing deployment on Azure Cloud. The Application Architect L1 will also build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions.
Why It Might Be a Fit
This role requires a deep understanding of healthcare domain requirements, ensuring solutions meet regulatory standards, HIPAA, GDPR, and handle sensitive data securely. The ideal candidate will have experience in LLM fine-tuning, embeddings, and context engineering, as well as expertise in coding proficiency with production-grade systems in Python.
Requirements
- Agentic Layer and Protocols
- AI/ML Engineering
- GenAI and LLM Concepts
- Programming (Python)
- Cloud Proficiency (Azure Cloud services)
- Databases (Azure AI Search, Redis, Cosmos DB)
- Cloud Native Architecture
- Healthcare Domain Experience
Benefits
- Full range of medical and dental benefits options
- Disability insurance
- Paid time off (inclusive of sick leave)
- Other paid and unpaid leave options
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