AI/ML Engineer – Agentic AI & Azure Cloud

Woodland Hills, California | Contract

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AI/ML Engineer – Agentic AI & Azure Cloud (Hybrid, must be local)
Woodland Hills, CA 

Length: 7 month contract (potential extension)

Overview:

We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Agentic AI architectures, AI/ML engineering, and Azure cloud technologies. This individual will play a critical role in designing, developing, and deploying next-generation AI solutions leveraging Agentic Layer A2A frameworks, MCP Protocol, vector databases, and cloud-native architectures.

Responsibilities

  • Design and implement Agentic AI solutions utilizing Agentic Layer A2A frameworks and MCP Protocol.
  • Develop and optimize AI/ML applications leveraging vector embeddings, prompt engineering, and context engineering techniques.
  • Architect and deploy scalable AI solutions on Microsoft Azure.
  • Design and manage Azure Functions, Azure Container Apps, and other cloud-native services.
  • Build and maintain retrieval systems using Azure AI Search, Redis, Cosmos DB, and related technologies.
  • Collaborate with cross-functional teams to define AI solution architectures and technical roadmaps.
  • Develop APIs, integrations, and services using Python, Java, and/or Go.

Required Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related field required.5 – Data Science – Agentic Layer A2A frameworks and MCP Protocol
  • 3+ – AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering
  • 3+ – programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud
  • 3+ – databases such as Azure AI Search, Redis, and Cosmos DB 

Preferred Qualifications

  • Experience within healthcare, healthcare technology, or regulated industries.
  • Experience developing enterprise AI platforms and intelligent automation solutions.
  • Familiarity with modern MLOps practices and AI governance frameworks.
  • Experience leading technical design discussions and mentoring engineering teams.

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