Agent Runtime Platform Engineer
# Agent Runtime Platform Engineer **D4 Insight** · Abu Dhabi · `On-site` 🕒 **Статус:** *Опубликовано: 11 дней назад* · *Источник: Indeed* --- ### About the Role Location: Abu Dhabi, UAE Experience: 7+ Years Role Overview: We are seeking for Agent Runtime Platform Engineer to design and build the enterprise runtime foundation for AI agents and agentic applications . The role is focused on platform engineering, with a strong understanding of agent engineering standards and deployment patterns. The engineer will create secure, reusable, and self-service runtime capabilities that enable teams to deploy agents consistently across cloud-native environments. Key Responsibilities: Agent Runtime & Platform Engineering - Design and engineer runtime patterns for AI agents, MCP servers, APIs, and containerized services . - Build runtime capabilities using AKS, Azure Container Apps, Kubernetes, queues, events, and cloud-native infrastructure . - Build reusable infrastructure patterns and platform APIs for consistent deployment and operation of agent workloads. - Define standards for agent manifests, runtime configurations, and tool definitions. Integration & Security - Standardize how agents connect to models, MCP servers, and enterprise APIs. - Implement approved patterns for networking, identity, and access control . - Develop paved-road templates, SDKs, reference implementations, documentation, and onboarding journeys for application teams. Production Readiness - Ensure agent workloads are observable, scalable, secure, and production-ready . - Apply appropriate practices for resilience, cost control, release promotion, and operational readiness. Required Skills & Experience: - 7+ years of relevant experience. - Strong hands-on expertise with: - AKS - Azure Container Apps - Kubernetes - Containers - Networking - Workload Identity - Ingress - API Gateways - Private Connectivity - Secrets Management - Strong experience with Terraform and GitHub Actions or equivalent automation. - Experience developing reusable platform modules, deployment templates, and environment-aware provisioning. - Working knowledge of AI agent architectures and API/service contracts . - Strong understanding of security, observability, scaling, resilience, cost control, release promotion, and operational readiness. - Ability to work closely with AI Platform, AI Ops, Cybersecurity, Architecture, and Application teams. Apply Now: careers@d4insight.com
Наблюдалась 2026-10-07, впервые 2026-09-25, источник — Indeed.