Senior AI/ML Engineer GenAI & Cloud Solutions

Valiant Technologies LLC; Woodland (CA); On-site; USD 86,000 - 123,000; Full time

Job summary

Valiant Technologies LLC seeks a Senior AI/ML Engineer to architect scalable GenAI solutions on Azure, focusing on embedding models, prompt/context engineering, and secure data flows. You will lead end-to-end solution development, oversee cloud deployment, and ensure HIPAA/GDPR compliance for healthcare data.

Strong leadership and mentoring will be required to guide engineering teams. The role emphasizes cloud-native architectures, data systems, and cutting-edge GenAI practices to deliver

Qualifications

• Experience architecting scalable AI/ML systems for enterprise.
• Hands-on with vector embeddings, prompt engineering, and context design.
• Strong Python and cloud deployment skills in Azure.

Responsibilities

• Architect scalable AI/ML systems and lead design reviews.
• Drive end-to-end GenAI solution development for enterprise workloads.
• Oversee Azure deployments, performance tuning, and cost optimization.
• Design data pipelines using Azure Cosmos DB, Redis, and Blob Storage.
• Build microservices with Azure Functions/Container Apps.
• Mentor teams and stay ahead of GenAI trends.

Skills

Agentic Layer

AI/ML Engineering

GenAI & LLM

Python

Azure Cloud

Data Architecture

Healthcare Domain

Tools

Azure Functions

Azure Container Apps

Iceberg

Job description

Location:

WOODLAND HILLS, CA

Duration:

8Months+ Extension

Domain Exposure:

Work Authorization:

Job Title: Senior AI/ML Engineer GenAI & Cloud Solutions Location: Woodland hills, CA

Duration: 8 Months + Extension

Bill Rate: $76/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 Description:

• 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.