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QE Automation Architect Lead Corporate & Financial Systems-Atlanta, GA***Onsite***

Inherent TechnologiesLos Angeles, CA🇺🇸United StatesPosted Oct 6, 2026

Why This Role Stands Out

This role offers a fantastic opportunity to lead cutting-edge AI initiatives, leveraging your expertise in Agentic AI frameworks and cloud-native architecture to drive innovation. You'll thrive here if you have a strong background in AI/ML engineering and a passion for building scalable solutions on Azure, making a significant impact within a dynamic team. Don't miss out on this chance to shape the future of AI at Inherent Technologies!

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Los Angeles, CA, United States
Posted
2 weeks ago

Job Description

Greetings from Inherent Technologies! Hope this email finds you in the best of your health,
My name is Danish Azeez and I'm an IT recruiter at Inherent Technologies. I came across your resume on one of the job boards and wanted to check if you are available for a new role. Look forward to talking to you
Position: Data Science - Agentic AI

Location: Woodland Hills, CA***Onsite/Hybrid***

Duration: 1 Years

Must Have Skills:
Skill 1 Yrs of Exp 12+ - Data Science - Agentic Layer A2A frameworks and MCP Protocol
Skill 2 - Yrs of Exp 6+ - AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering
SKill 3 - Yrs Of Exp - 6+ - programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud
SKill 4 - Yrs Of Exp - 6+ - databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus)
Skill 5 - Yrs of Exp - 6+ - ability to design and manage Azure Functions and Azure Container Apps & cloud-native architecture, scalability, and performance optimization
Summary:

We are looking for 8+ Years of experienced 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 (Blob Storage and Iceberg are plus). Proven ability to design and manage Azure Functions and Azure Container Apps. Strong understanding of cloud-native architecture, scalability, and performance optimization.


Rohit Chauhan

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