NO GC
Must: Local or NearbyLocation: Woodland Hills, CA (Onsite/Hybrid)
Hours per Week: 40
We are seeking an experienced Data Science Specialist II with strong expertise in Agentic AI architectures, A2A frameworks, and MCP Protocol. The ideal candidate will have deep experience in AI/ML engineering, vector embeddings, prompt engineering, and cloud-native solution deployment on Azure.
This role requires hands-on experience designing scalable AI solutions using modern GenAI, cloud-native services, and distributed architectures.
Design and implement Agentic AI systems using A2A frameworks and MCP Protocol.
Build and optimize AI/ML pipelines involving vector embeddings, prompt engineering, and context engineering.
Develop scalable AI-driven applications using Python, Java, or Go.
Deploy and manage AI solutions on Microsoft Azure Cloud.
Work with Azure AI Search, Redis, Cosmos DB, and other data platforms.
Design and manage Azure Functions and Azure Container Apps.
Implement cloud-native architectures with high scalability and performance optimization.
Collaborate with cross-functional teams to deliver GenAI and AI/ML solutions.
1. Agentic AI & Protocols – 12+ Years
Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.
2. AI/ML Engineering – 6+ Years
Vector embeddings
Prompt engineering
Context engineering
3. Programming & Cloud – 6+ Years
Strong programming skills in Python, Java, or Go
Experience deploying solutions on Azure Cloud
4. Databases & Data Platforms – 6+ Years
Azure AI Search
Redis
Cosmos DB
Knowledge of Blob Storage and Iceberg is a plus
5. Cloud Architecture – 6+ Years
Experience designing and managing:
Azure Functions
Azure Container Apps
Strong knowledge of cloud-native architecture, scalability, and performance optimization
Healthcare domain experience (Good to Have)