Senior GenAI/ML Architect for Enterprise Cloud (Azure)

Machine Learning Technologies, LLC; Woodland (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC in California seeks a lead AI/ML architect to design scalable, secure GenAI solutions. You will architect multi-agent workflows, manage data pipelines, and drive end-to-end implementation on Azure.

You will mentor engineering teams, champion best practices, and ensure HIPAA/GDPR compliance while exploring cutting-edge GenAI and LLM trends to deliver enterprise-grade applications. Proficiency in Python and Azure is required.

Qualifications

• Experience designing scalable AI/ML systems in enterprise environments.
• Deep knowledge of vector embeddings, prompts, and LLM fine-tuning.
• Familiarity with GenAI concepts, NLP models, and multi-agent architectures.
• Proficiency in Python; Java/Go experience a plus.
• Strong Azure cloud skills: deployment, monitoring, and cost optimization.
• Experience with Azure AI Search, Redis, Cosmos DB; Blob Storage/Iceberg knowledge.
• Understand healthcare data regulations (HIPAA/GDPR) and secure data handling.

Responsibilities

• Architect scalable, secure AI/ML workloads on Azure.
• Drive end-to-end solution development including embeddings and context engineering.
• Oversee cloud deployment, performance tuning, and cost governance.
• Design data pipelines using Azure services and Iceberg.
• Mentor teams and enforce engineering best practices.
• Stay ahead of GenAI trends and integrate new approaches.

Skills

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM Concepts

Programming

Cloud Proficiency

Databases

Cloud-Native Architecture

Healthcare Domain

Job description

Machine Learning Technologies, LLC in California seeks a lead AI/ML architect to design scalable, secure GenAI solutions. You will architect multi-agent workflows, manage data pipelines, and drive end-to-end implementation on Azure.

You will mentor engineering teams, champion best practices, and ensure HIPAA/GDPR compliance while exploring cutting-edge GenAI and LLM trends to deliver enterprise-grade applications. Proficiency in Python and Azure is required.