AI/ML Engineer - Agentic AI & Azure Cloud
CyberSearch
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. #J-18808-Ljbffr CyberSearch
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