AI Engineer – Architecture & Foundry Deployment

Qualifications

• Work Authorization : USC or Any valid USA work authorization

• Design and deploy standardized, reusable architectures supporting multiple enterprise AI products

• Work hands-on within Microsoft Foundry (previously AI Studio), including agent/sub-agent deployment, grounding configuration, and token management

• Build and maintain Ansible roles to automate infrastructure provisioning, configuration, and deployment of Foundry and Azure resources

• Use Ansible as an abstraction layer to manage complex, large-scale Azure environments across multiple regions and subscriptions

• Support enterprise-wide Foundry deployments, including environment separation (prod/test/experimental) and regional/subscription architectures

• Assist in building automation and integration patterns that streamline AI development and operations

• Collaborate with software engineers, architects, and platform teams to accelerate standardization efforts

• Work with Azure-based AI and ML tooling as needed, including Azure ML and AKS

• 6 more items(s)

More job highlights

Job description

Dear All,

Vertex Elite is currently seeking a qualified AI Engineer – Architecture & Foundry Deployment with Wealth Management experience

If you or someone you know is interested, please feel free to reach out for more details or share your updated resume.

Work Authorization : USC or Any valid USA work authorization

Job Type : Contracting

Location : Houston, Texas, United States

Required Ski...lls and Qualifications

• Design and deploy standardized, reusable architectures supporting multiple enterprise AI products.

• Work hands-on within Microsoft Foundry (previously AI Studio), including agent/sub-agent deployment, grounding configuration, and token management.

• Build and maintain Ansible roles to automate infrastructure provisioning, configuration, and deployment of Foundry and Azure resources.

• Use Ansible as an abstraction layer to manage complex, large-scale Azure environments across multiple regions and subscriptions.

• Support enterprise-wide Foundry deployments, including environment separation (prod/test/experimental) and regional/subscription architectures.

• Assist in building automation and integration patterns that streamline AI development and operations.

• Collaborate with software engineers, architects, and platform teams to accelerate standardization efforts.

• Work with Azure-based AI and ML tooling as needed, including Azure ML and AKS.

With Best Regards,

Murthy Bandaru | Vertex Elite LLC | E-Verified Company | www.vertexelites.com

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