Senior AI/ML Architect - GenAI, Azure & Healthcare

Ethereum Technologies; Woodland (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Ethereum Technologies is seeking a senior AI/ML architect to lead scalable, secure GenAI solutions in a regulated healthcare context. You will design end-to-end architectures, including vector embeddings, prompts, and context engineering, and oversee Azure-based deployments and data pipelines using Azure AI Search, Redis, Cosmos DB, and Iceberg.

The role emphasizes leadership, governance, and cutting-edge GenAI approaches.

Qualifications

• Experience designing scalable AI/ML systems and platforms.
• Experience with regulated data environments and healthcare data security.
• Strong leadership and cross-functional collaboration skills.

Responsibilities

• Lead the design of scalable, secure AI/ML architectures.
• Drive end-to-end solution development including embedding, prompts, and context engineering.
• Architect and oversee Azure-based deployment of AI workloads.
• Design data pipelines with Azure AI Search, Redis, Cosmos DB, Blob Storage, Iceberg.
• Build and manage Azure Functions and Container Apps for microservices.
• Define cloud-native patterns and ensure performance and resilience.

Skills

Agentic Layer A2A

MCP Protocol

Vector embeddings

Prompt engineering

Context engineering

Fine-tuning LLMs

Generative AI

NLM concepts

LLMs

Python

Java

Go

Azure Cloud

Azure Functions

Azure Container Apps

Azure Blob Storage

Azure AI Search

Redis

Cosmos DB

Iceberg

Microservices

Containerization

Serverless

HIPAA compliance

GDPR

Healthcare data security

Tools

Azure Functions

Azure Container Apps

Azure AI Search

Blob Storage

Redis

Cosmos DB

Iceberg

Job description

Ethereum Technologies is seeking a senior AI/ML architect to lead scalable, secure GenAI solutions in a regulated healthcare context. You will design end-to-end architectures, including vector embeddings, prompts, and context engineering, and oversee Azure-based deployments and data pipelines using Azure AI Search, Redis, Cosmos DB, and Iceberg.

The role emphasizes leadership, governance, and cutting-edge GenAI approaches.