Senior GenAI & Cloud AI Architect (Azure)

Ethereum Technologies; Woodland (CA); On-site; USD 86,000 - 123,000; Part time

Job summary

Ethereum Technologies in Woodland Hills, CA, seeks a Senior AI/ML Engineer for GenAI and cloud solutions. Lead end-to-end development from embeddings to deployment on Azure, ensuring scalability, security, and regulatory compliance for healthcare data.

You will design data pipelines, manage Azure Functions and Container Apps, mentor teams, and stay ahead of GenAI trends with cutting-edge approaches.

Qualifications

• Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocols.
• Strong background in vector embeddings, prompt engineering, and context engineering for GenAI.
• Deep understanding of Generative AI, NLP, and Large Language Models.
• Advanced Python; Java/Go a plus.
• Azure Cloud services deployment, monitoring, and scaling.
• Azure AI Search, Redis, Cosmos DB; Blob Storage and Iceberg familiarity.
• Microservices, containers, serverless, and performance optimization.
• Experience with regulated data environments in healthcare.

Responsibilities

• Architect scalable, secure AI/ML systems using GenAI techniques.
• Lead end-to-end solution development from embeddings to deployment.
• Oversee cloud deployment of AI/ML workloads on Azure for enterprise scale.
• Design data pipelines and storage with Azure components.
• Build and manage Azure Functions and Container Apps for microservices.
• Drive performance tuning, resilience, and cost optimization in distributed systems.
• Mentor engineering teams and enforce best practices and code reviews.
• Stay ahead of GenAI trends and integrate cutting-edge approaches.

Skills

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM Concepts

Programming

Cloud Proficiency

Databases

Cloud-Native Architecture

Healthcare Domain

Tools

Azure Cloud

Redis

Cosmos DB

Blob Storage

Iceberg

Job description

Ethereum Technologies in Woodland Hills, CA, seeks a Senior AI/ML Engineer for GenAI and cloud solutions. Lead end-to-end development from embeddings to deployment on Azure, ensuring scalability, security, and regulatory compliance for healthcare data.

You will design data pipelines, manage Azure Functions and Container Apps, mentor teams, and stay ahead of GenAI trends with cutting-edge approaches.