Senior AI/ML Engineer

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

• Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
• Solution Engineering: Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.
• Cloud Deployment: Architect and oversee deployment of AI/ML workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization.
• Data Architecture: Design and optimize data pipelines and storage solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
• Application Development: Build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions.
• Performance & Scalability: Define cloud-native architecture patterns, implement performance tuning, and ensure resilience across distributed systems.
• Domain Expertise: Apply deep knowledge of healthcare domain requirements, ensuring solutions meet regulatory standards (HIPAA, GDPR, etc.) and handle sensitive data securely.
• Technical Leadership: Mentor engineering teams, establish best practices, and conduct design/code reviews.
• Innovation & Research: Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into enterprise solutions.

Required Skills & Expertise

• Agentic Layer & Protocols: Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
• AI/ML Engineering: Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs.
• GenAI & LLM Concepts: Deep understanding of Generative AI, Natural Language Models (NLM), and Large Language Models (LLM).
• Programming: Advanced proficiency in Python; exposure to Java/Go is a plus.
• Cloud Proficiency: Strong experience with Azure Cloud services, including deployment, monitoring, and scaling.
• Databases: Expertise in Azure AI Search, Redis, Cosmos DB; familiarity with Blob Storage and Iceberg is advantageous.
• Cloud-Native Architecture: Solid grasp of microservices, containerization, serverless computing, scalability, and performance optimization.
• Healthcare Domain: Experience working with regulated data environments and compliance frameworks

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.