Senior GenAI & Azure Cloud Solutions Engineer

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

Job summary

Quantum Technologies. LLC in Woodland Hills, CA is seeking a Senior AI/ML Engineer to design scalable GenAI and cloud-based solutions.

You will lead end-to-end development, from embeddings and prompt/context engineering to secure Azure deployments, while ensuring HIPAA/GDPR compliance and cost optimization.

This 8-month engagement includes collaboration with cross-functional teams and a focus on performance, resilience, and enterprise-grade reliability.

Responsibilities

• 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.

Job description

Quantum Technologies. LLC in Woodland Hills, CA is seeking a Senior AI/ML Engineer to design scalable GenAI and cloud-based solutions.

You will lead end-to-end development, from embeddings and prompt/context engineering to secure Azure deployments, while ensuring HIPAA/GDPR compliance and cost optimization.

This 8-month engagement includes collaboration with cross-functional teams and a focus on performance, resilience, and enterprise-grade reliability.