D4 Insight
Agent Runtime Platform Engineer
Skills
24 days ago
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Important information
Location:
Abu Dhabi - United Arab Emirates
Work mode:
Onsite
Published on:
25 September 2026
What they need
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: [email protected]
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