Senior AI/ML Engineer GenAI

Ethereum Technologies LLC; Woodland (CA); On-site; USD 82,000 - 117,000; Full time

Job summary

Ethereum Technologies is seeking a Senior AI/ML Engineer GenAI in Woodland Hills, CA, to lead design of scalable AI/ML systems and end-to-end GenAI solutions. You will work on embeddings, prompt/context engineering, and cloud deployment on Azure, with focus on HIPAA/GDPR-compliant data handling and secure architectures.

The role requires deep GenAI expertise, strong Python skills, and leadership to mentor teams while driving performance, cost optimization, and regulatory compliance in enterprise

Qualifications

• Architect scalable, secure AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
• Drive end-to-end GenAI solution development including embeddings, prompt engineering, and context engineering for enterprise apps.
• Architect and oversee deployment of AI/ML workloads on Azure Cloud with compliance, scalability, and cost optimization.
• Design and optimize data pipelines and storage using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
• Build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions.
• Define cloud-native architecture patterns, perform performance tuning, and ensure resilience across distributed systems.
• Apply deep healthcare domain knowledge to ensure regulatory compliance (HIPAA, GDPR) and secure handling of sensitive data.
• Mentor engineering teams, establish best practices, and conduct design/code reviews.
• Stay ahead of GenAI/LLM trends and integrate cutting-edge approaches into enterprise solutions.

Responsibilities

• Architect and design scalable, secure AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
• Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for GenAI applications.
• Oversee deployment of AI/ML workloads on Azure Cloud with compliance, scalability, and cost optimization.
• Design and optimize data pipelines and storage using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
• Build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions.
• Define cloud-native architecture patterns, implement performance tuning, and ensure resilience across distributed systems.
• Apply healthcare data regulatory standards (HIPAA, GDPR) and secure handling of sensitive data.
• Mentor teams, establish best practices, and conduct design/code reviews.
• Stay updated on GenAI, LLM trends and integrate into enterprise solutions.

Skills

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM Concepts

Programming

Cloud Proficiency

Databases

Cloud-Native Architecture

Healthcare Domain

Tools

Azure Cloud services

Azure Functions

Azure Container Apps

Redis

Cosmos DB

Blob Storage

Iceberg

Job description

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

Job Title: Senior AI/ML Engineer GenAI
Location: Woodland hills, CA
Duration: 8Months + Extension
Bill Rate: $72/hour(C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
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.