AI Enablement Engineer - Hybrid

Title: AI Enablement Engineer - Hybrid

Description:

The client is seeking a hybrid-skilled AI Platform Architect & Enablement Engineer with deep experience in Azure OpenAI, Copilot Studio, and AI integration into enterprise applications. This role bridges infrastructure and AI enablement supporting development teams in embedding AI into both new and existing applications, while ensuring scalable, secure, and policy-compliant Azure implementations. This role requires a proactive engineer who can contribute to documentation, knowledge sharing, and enforcement of cloud governance policies in a large public-sector environment. Ideal candidates will have a strong development background and specialize in AI platform enablement.

Key Responsibilities

Lead the design and implementation of Copilot Studio and Azure OpenAI solutions for both internal and public-facing applications.

Guide development teams on embedding AI into existing and new applications, including prompt engineering, API integration, and data flow design.

Architect and scale AI platforms to support high-concurrency, low-latency workloads, including peak load planning and autoscaling strategies.

Build and maintain secure, scalable Azure environments using Infrastructure-as-Code (Bicep/Terraform) and CI/CD pipelines.

Collaborate with DevOps and SRE teams to ensure observability, governance, and compliance across AI workloads.

Serve as a technical advisor and mentor to development teams, helping them adopt AI responsibly and effectively.

Skill - Required / Desired - Amount of Experience

Direct experience integrating Azure OpenAI, Copilot Studio and other AI into Enterprise applications or services, including security configuration. - Desired - 2 Years

Experience guiding application teams on AI integration strategies. - Required - 2 Years

Experience with scaling AI workloads. - Desired - 1 Years

Experience working with app teams to migrate, modernize, or re-platform workloads in Azure, including supporting legacy integration. - Desired - 2 Years

Experience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools. - Desired - 2 Years

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Mandatory skills:

Azure OpenAI, Copilot Studio, AI integration,

Enterprise applications, Enterprise services, security configuration,

AI integration strategies, scaling AI workloads, AI platforms, AI responsibly, embedding AI,

Bicep, automated pipelines, Azure DevOps,

prompt engineering, API integration, data flow design,

high-concurrency, low-latency workloads, peak load planning, autoscaling strategies,

Infrastructure-as-Code, Terraform, CI/CD pipelines

VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.

Contact Details :

Account co-ordinator: Binodh Thankappan

VIVA USA INC.

3601 Algonquin Road, Suite 425

Rolling Meadows, IL 60008

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