Senior Azure AI Platform Engineer in banking domain

Urgent requirement for  Senior Azure AI Platform Engineer in banking domain is required for our banking clients in Abu Dhabi ,UAE
Strong experience in design, build, and evolve a reusable Azure AI Platform for a large financial enterprise.--MustEnable enterprise adoption of Azure OpenAI, Azure AI Foundry, AI Search, and Document Intelligence through standardized platform services.--MustDevelop production-grade runtimes using AKS, Azure Container Apps, Kubernetes, APIs, agents, and asynchronous workloads.--MustCreate reusable Terraform modules, policy-as-code controls, and GitHub Actions-based deployment automation.--MustImplement secure cloud architectures using VNETs, Private Links, Firewalls, Identity Management, APIM, and Kong.--MustBanking Domain --Must
 Role Overview:We are looking for a Senior Platform Engineer to design, build, and scale and evolution of the Azure AI Platform as a reusable enterprise product. The role builds cloud-native platform capabilities and hybrid-cloud ecosystems from the ground up for a large Financial Enterprise. You will be responsible for creating a robust foundation for our application teams, with a specific focus on operationalizing AI services, maintaining rigorous security standards.
 Key Responsibilities  

• Infrastructure: Architect and deploy production-ready modular Azure AI platform capabilities. Define platform boundaries, service contracts, tenancy patterns, scaling models and secure integration standards. 


• Shared AI Capabilities integration Build shared AI service capabilities as platform products by standardizing access to Azure OpenAI, AI Search, Document Intelligence, and other  agent/tool orchestration pattern


• Standardize application consumption through APIs, SDKs, templates, and reference implementations


• Infrastructure as Code:


•  Define reusable Terraform modules and templatized patterns that provision cloud resources with standard network, identity, security, tagging, observability, built in by default.


• Implement policy-as-code and automated validation to ensure every deployment passes checks for naming standards, approved SKUs, network isolation, compliance requirements


• Provide self-service provisioning paths through GitHub Actions or platform APIs so teams can request standardized infrastructure pattern


• Operate AI orchestration as an enterprise capability with clear service contracts, reusable patterns, release management, platform documentation, onboarding journeys, and continuous improvement based on application demand.


• AI Runtime: Engineer production runtimes on AKS and Azure Container Apps for APIs, agents, MCP servers and asynchronous workloads. 


• API & Connectivity: Manage API lifecycles using Azure APIM and Kong, ensuring secure and performant communication between services.

Technical Requirements:

• Cloud: 8+ years experience with Azure Cloud Platform.


• IaC: Expertise in Terraform and GitHub Actions, including modular design, automated testing and controlled promotion. 


• AI Stack: Familiarity with Azure AI Foundry and OpenAI Service.


• Networking: Expert knowledge of Network Architecture (VNETs, Peering, Firewalls, Private Links).


• APIs: Hands-on experience with Azure API Management or Kong.


• Deployment Architecture: Proven ability to create professional Cloud Architectures and provide Solutions Architecture guidance.


• Deep hands-on expertise with AKS, Azure Container Apps, Azure AI Foundry, Azure OpenAI, APIM, identity and private networking. 


• Experience with Kubernetes, containers, platform APIs, SDK design, observability and SRE practices. 


• Ability to translate security, risk and compliance requirements into automated platform controls.