Senior AI/ML Engineer

Robotic Technologies Automation; Atlanta (GA); On-site; USD 77,000 - 110,000; Full time

Job summary

To Be Discussed Later in Atlanta, GA seeks a Senior AI/ML Engineer to design scalable GenAI systems, lead multi‑agent orchestration, and drive Azure cloud deployments with cost and security in mind.

Responsibilities include vector embeddings, prompt engineering, data pipelines, and mentoring engineers while aligning with HIPAA/GDPR and other regulatory standards on enterprise projects.

Qualifications

• Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
• Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs.
• Deep understanding of Generative AI, Natural Language Models (NLM), and Large Language Models (LLM).
• Advanced proficiency in Python; exposure to Java/Go is a plus.
• Strong experience with Azure Cloud services, including deployment, monitoring, and scaling.
• Expertise in Azure AI Search, Redis, Cosmos DB; familiarity with Blob Storage and Iceberg.

Responsibilities

• Architect and design scalable, secure, and high-performance 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.
• Cloud deployment: architect and oversee deployment of AI/ML workloads on Azure Cloud with compliance, scalability, and cost optimization.
• Data architecture: design and optimize data pipelines and storage 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 patterns, implement tuning, ensure resilience across distributed systems.
• Domain expertise: align with healthcare regulatory standards (HIPAA, GDPR) and secure handling of data.
• Technical leadership: mentor teams, establish best practices, conduct design/code reviews.
• Innovation & research: stay ahead of GenAI/LLM trends and integrate cutting-edge approaches.

Skills

Agentic Layer A2A frameworks

AI/ML engineering

GenAI concepts

LLM concepts

Python programming

Azure Cloud

Tools

Agentic Layer MCP Protocol

Azure Functions

Azure Container Apps

Azure AI Search

Redis

Cosmos DB

Blob Storage

Iceberg

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.