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Job Description & How to Apply Below
We are seeking for
Location:Abu Dhabi, UAE
Experience:7+ Years
Role OverviewWe 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.
- 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.
- Ensure agent workloads are observable, scalable, secure, and production-ready.
- Apply appropriate practices for resilience, cost control, release promotion, and operational readiness.
- 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 Git Hub 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.
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