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:
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.
- 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.
Employer-sourced description · source: halian.com · captured 3h ago
