Senior AI/ML Engineer GenAI

Valiant Technologies LLC; Woodland (CA); On-site; USD 83,000 - 124,000; Full time

Job summary

Valiant Technologies LLC seeks a Senior AI/ML Engineer GenAI to lead the design and deployment of scalable GenAI solutions. You will architect end-to-end AI/ML systems, manage vector embeddings, prompts, and context engineering, and oversee Azure-based deployments in a regulated environment.

The role requires deep GenAI knowledge, strong Python skills, and experience with microservices and Azure services. You will mentor teams and drive innovation while ensuring HIPAA/GDPR compliance where

Qualifications

• Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol.
• Strong background in vector embeddings, prompt and context engineering.
• Deep understanding of Generative AI, LLMs and NLMs.

Responsibilities

• Architect scalable, secure AI/ML systems for GenAI applications.
• Drive end-to-end solution development including embeddings and prompts.
• Oversee Azure Cloud deployments, ensure cost optimization and compliance.
• Design data pipelines using Cosmos DB, Redis, Blob Storage and Iceberg.
• Build microservices with Azure Functions and Container Apps.
• Mentor teams, enforce best practices, and perform design reviews.
• Stay ahead of GenAI trends and integrate cutting-edge approaches.

Skills

Agentic Layer

Protocol for multi-agent orchestration

AI/ML Engineering

GenAI & LLM concepts

Python

Azure Cloud

Microservices & serverless

Data architectures

Healthcare compliance

Tools

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.