Data Science-Agentic AI

Syncreon Consulting • Beverly Hills, CA

8h

About The Position

Client is looking for an experienced professional with hands-on experience in Agentic Layer A2A frameworks and MCP Protocol. The role requires expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering. Strong programming skills in Python, Java, or Go are essential, along with proficiency in deploying solutions on Azure Cloud. Experience with databases such as Azure AI Search, Redis, and Cosmos DB is required, with Blob Storage and Iceberg being a plus. The candidate must have a proven ability to design and manage Azure Functions and Azure Container Apps, along with a strong understanding of cloud-native architecture, scalability, and performance optimization.

Requirements

• 12+ years of experience in Data Science - Agentic Layer A2A frameworks and MCP Protocol.
• 6+ years of experience in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering.
• 6+ years of programming skills in at least two of the following: Python, Java, Go.
• Proficiency in deploying solutions on Azure Cloud.
• 6+ years of experience with databases such as Azure AI Search, Redis, and Cosmos DB.
• 6+ years of experience in designing and managing Azure Functions and Azure Container Apps.
• Strong understanding of cloud-native architecture, scalability, and performance optimization.

Nice To Haves

• Experience with Blob Storage and Iceberg.

Responsibilities

• Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.
• Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering.
• Strong programming skills in at least two of the following: Python, Java, Go.
• Proficiency in deploying solutions on Azure Cloud.
• Experience with databases such as Azure AI Search, Redis, and Cosmos DB.
• Proven ability to design and manage Azure Functions and Azure Container Apps.
• Strong understanding of cloud-native architecture, scalability, and performance optimization.

Benefits

• All your information will be kept confidential according to EEO guidelines.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed