Software Engineer Azure AI Foundry Azure AI Services Automation Engineer

Company Profile:
Were Hiring at CGI for our GCC - Right Here in Hyderabad!

Join us at the intersection of technology finance and innovation. You will be working to support one of the top-tier financial institutions in the U.S. Youll help shape digital solutions for a global enterprisefrom the ground up.

This is more than a job. Its your opportunity to:
Work on cutting-edge technologies
Collaborate with global teams
Build a career with purpose and impact

Ready to build the future of banking Lets talk.

Position Description:

Job Title: Software Engineer - Azure AI Foundry / Azure AI Services Automation Engineer
Position: Azure AI Foundry / Azure AI Services Automation Engineer
Experience: 3-6 years
Category: Software Engineer
Shift: General
Main location: India Telangana Hyderabad
Position ID: J0925-1701
Employment Type: Full Time

Job Overview:
CGI is looking for a skilled Software Engineer - an experienced Azure AI Foundry / Azure AI Services Automation Engineer to design automate deploy and support enterprise AI platforms on Microsoft Azure. The ideal candidate will have strong hands-on experience with Azure AI Foundry Azure AI Services Infrastructure as Code (IaC) CI/CD automation and scripting.
The role focuses on building scalable repeatable and secure AI infrastructure deployments using Terraform or Bicep Azure DevOps pipelines Python PowerShell and REST APIs. The candidate will work closely with engineering and platform teams to enable seamless onboarding of AI workloads automate environment provisioning and troubleshoot deployment and integration issues.

Key Responsibilities
Design implement and automate infrastructure deployments for Azure AI Foundry and Azure AI Services.
Develop maintain and reuse Infrastructure as Code (IaC) modules using Terraform and/or Bicep.
Build and manage Azure DevOps CI/CD pipelines for automated infrastructure provisioning configuration and deployment.
Develop Python and PowerShell scripts to automate environment setup deployment workflows and operational activities.
Integrate Azure AI services with enterprise applications and platforms using REST APIs and other supported interfaces.
Configure and manage Managed Identities Role-Based Access Control (RBAC) and secure connectivity for AI workloads.
Implement and support Azure networking configurations including Virtual Networks (VNets) and Private Endpoints.
Configure and integrate Azure API Management (APIM) and Azure OpenAI services where required.
Troubleshoot infrastructure deployment failures service integration issues connectivity problems and pipeline execution errors.
Support the onboarding of enterprise AI workloads by providing standardized deployment templates reusable automation components and platform integration support.
Implement monitoring logging and observability using Azure Monitor Application Insights and related Azure services.
Establish reusable deployment patterns technical documentation and operational procedures to improve consistency and reduce manual intervention.
Collaborate with onshore engineering cloud platform security and application teams to ensure secure reliable and scalable AI service deployments.

Mandatory Skills
Azure AI Foundry / Azure AI Services: Hands-on engineering experience implementing configuring and deploying Azure AI platforms and services.
Infrastructure as Code (IaC): Practical experience developing and managing infrastructure deployment modules using Terraform and/or Bicep.
Azure DevOps CI/CD: Experience designing and implementing automated build release and infrastructure deployment pipelines.
Python / PowerShell and API Integration: Strong scripting skills for automation deployment orchestration and integration with REST APIs.

Good-to-Have Skills
Experience with Azure API Management (APIM) and Azure OpenAI.
Knowledge of Azure networking Virtual Networks (VNets) Private Endpoints and secure service connectivity.
Experience with Managed Identity RBAC and Azure security best practices.
Familiarity with containerization technologies and container-based deployments.
Experience with monitoring logging and observability using Azure Monitor and Application Insights.
Experience supporting enterprise AI platforms and enabling AI workload onboarding.
Previous experience in banking financial services or other regulated environments.

About CGI :
CGI is an equal opportunity addition CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

• Banking
• Business Analysis
• Analytical Thinking
• Communication
• Test strategy

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.

Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

That same commitment to fairness extends to how we use technology. To support our recruitment team AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

Come join our teamone of the largest IT and business consulting services firms in the world.