Senior AI/ML Engineer

Valiant Technologies LLC; Atlanta (GA); On-site; USD 80,000 - 107,000; Full time

Job summary

Valiant Technologies LLC is hiring a Senior AI/ML Engineer in Atlanta to architect scalable GenAI and multi-agent solutions on Azure, focusing on embeddings, prompt/context engineering, and secure data handling for healthcare workloads.

You will lead design reviews, mentor teams, and drive cutting-edge GenAI integration across enterprise applications with a strong emphasis on performance and cost optimization.

Qualifications

• Experience in AI/ML engineering with GenAI and LLM concepts.
• Strong Python coding skills; other languages a plus.
• Hands-on with Azure-based AI/ML deployments and data services.
• Knowledge of secure data handling and regulatory requirements.

Responsibilities

• Architect scalable AI/ML systems and multi-agent orchestration.
• Lead end-to-end solution development including embeddings and prompt design.
• Oversee Azure-based deployment, monitoring, and cost optimization.
• Design data pipelines using Redis, Cosmos DB, and Blob Storage.
• Develop microservices with Azure Functions and Container Apps.
• Ensure performance, resilience, and compliance for healthcare data.
• Mentor engineers and drive best practices in design and code reviews.
• Stay ahead of GenAI trends and integrate them into enterprise projects.

Skills

Agentic Layer

A2A frameworks

MCP Protocol

Vector embeddings

Prompt engineering

Context engineering

LLMs

Python

Azure Cloud

Azure Functions

Azure Container Apps

Cosmos DB

Redis

Blob Storage

Iceberg

Tools

Azure Cloud

Azure Functions

Azure Container Apps

Cosmos DB

Redis

Blob Storage

Iceberg

Azure AI Search

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.