Senior AI/ML Engineer

Ethereum Technologies; Atlanta (GA); On-site; USD 83,000 - 124,000; Full time

Job summary

Ethereum Technologies in Atlanta, GA seeks a Senior AI/ML Engineer to architect and implement scalable GenAI solutions. You will lead multi-agent orchestration, develop vector embeddings and prompts, and deploy workloads on Azure with cost and security in mind.

Responsibilities include data pipelines with Redis, Cosmos DB, and Iceberg, plus building serverless components like Azure Functions and Container Apps. Mentorship and research stay are expected.

Qualifications

• Architect scalable AI/ML systems with enterprise-grade GenAI capabilities.
• Experience with multi-agent orchestration and MCP Protocols.
• Strong Python development and Azure cloud deployment know-how.
• Knowledge of healthcare data handling and regulatory standards.

Responsibilities

• Lead design of scalable AI/ML architectures and secure data flows.
• Develop end-to-end GenAI solutions including embeddings and prompts.
• Oversee Azure Cloud deployment, monitoring, and cost optimization.
• Design data pipelines using Redis, Cosmos DB, Blob Storage, Iceberg.
• Build Azure Functions and Container Apps for microservices.
• Define cloud-native patterns, performance tuning, and resilience.
• Apply healthcare regulatory requirements (HIPAA, GDPR) to solutions.
• Mentor teams, enforce best practices, and review designs.
• Stay ahead of GenAI trends and integrate cutting-edge methods.

Skills

AI/ML engineering

GenAI concepts

LLM/NLM concepts

Cloud architecture

Technical leadership

Tools

Azure Cloud services

Azure Functions

Azure Container Apps

Redis

Cosmos DB

Blob Storage

Iceberg

Python

Agentic Layer frameworks

MCP Protocol

vector embeddings

prompt engineering

context engineering

LLMs

Job description

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

Job Title: Senior AI/ML Engineer
Location: Atlanta,GA
Duration: 9 Months + Extension
Bill Rate: $68/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.

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.