GenAI & Cloud AI/ML Engineer (Azure) for Healthcare

Artifintech

Woodland (CA)

On-site

USD 86,000 - 123,000

Full time

1 hour ago
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Job summary

Artifintech seeks a Senior AI/ML Engineer to lead GenAI and cloud solutions in Woodland Hills, CA. You will design scalable AI/ML systems, drive end-to-end solution development, and architect cloud deployments with a focus on security, cost, and compliance.

You will mentor teams, explore cutting-edge GenAI trends, and deliver enterprise-grade AI applications leveraging Azure services and regulated data handling.

Qualifications

  • Architect AI/ML systems with scalable, secure design
  • Expertise in vector embeddings, prompt/context engineering
  • GenAI/LLM, NLP knowledge
  • Proficient in Python; Java/Go a plus
  • Azure cloud deployment, monitoring, cost optimization
  • HIPAA/GDPR regulated data handling experience

Responsibilities

  • Architect and design scalable AI/ML systems using Agentic Layer A2A frameworks and MCP Protocols
  • Drive end-to-end solution development including embeddings, prompts, and context engineering
  • Oversee Azure-based deployment of AI/ML workloads with security and cost controls
  • Design data pipelines using Azure Cosmos DB, Redis, Blob Storage, Iceberg
  • Develop microservices with Azure Functions and Azure Container Apps
  • Define cloud-native patterns, performance tuning, and resilience across systems
  • Apply healthcare regulatory knowledge to ensure compliant solutions
  • Mentor engineers, establish best practices, and perform code reviews
  • Stay aligned with GenAI/LLM trends and integrate innovative approaches

Skills

Agentic Layer
AI/ML Engineering
GenAI & LLM
Python
Azure Cloud
Azure AI Search
Cosmos DB
Cloud-native architecture
Healthcare domain

Tools

Azure Functions
Azure Container Apps

Job description

Artifintech seeks a Senior AI/ML Engineer to lead GenAI and cloud solutions in Woodland Hills, CA. You will design scalable AI/ML systems, drive end-to-end solution development, and architect cloud deployments with a focus on security, cost, and compliance.

You will mentor teams, explore cutting-edge GenAI trends, and deliver enterprise-grade AI applications leveraging Azure services and regulated data handling.

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