Artificial Intelligence Engineer

We are seeking an experienced Data Science – Agentic AI Engineer with strong hands‑on expertise in building scalable AI solutions using Agentic AI frameworks and cloud‑native technologies. The ideal candidate will have deep knowledge of Agentic Layer A2A frameworks , MCP Protocol , and modern AI/ML engineering practices including vector embeddings, prompt engineering, and context engineering. Key Responsibilities Design and develop AI‑driven solutions using Agentic AI frameworks and MCP Protocol Build and optimize AI/ML pipelines leveraging vector embeddings and LLM orchestration Develop scalable cloud‑native applications on Azure Cloud Design and manage Azure Functions, Azure Container Apps, and distributed architectures Work with databases including Azure AI Search, Redis, and Cosmos DB Ensure scalability, performance optimization, and reliability of AI platforms Collaborate with cross‑functional teams to deliver enterprise‑grade AI solutions Required Skills 8+ years of overall IT experience with strong hands‑on AI/ML engineering expertise 12+ years of experience in Data Science with Agentic Layer A2A frameworks and MCP Protocol Strong experience in vector embeddings, prompt engineering, and context engineering Proficiency in at least two programming languages: Python, Java, or Go Hands‑on experience deploying solutions on Azure Cloud Experience with Azure AI Search, Redis, Cosmos DB (Blob Storage and Iceberg are a plus) Strong understanding of cloud‑native architecture, scalability, and performance tuning Preferred Skills Healthcare domain experience is a plus Location & Work Model Location: Woodland Hills Work Mode: Onsite / Hybrid #J-18808-Ljbffr BrickRed Systems