Agent Runtime Platform Engineer
Role Overview
Design and build the enterprise runtime foundation for AI agents and agentic applications.
Focus on platform engineering and reusable, secure, self-service runtime capabilities across cloud-native environments.
Key Skills for This Role
Full Job Posting
Role overview
Design and build the enterprise runtime foundation for AI agents and agentic applications.
Focus on platform engineering and reusable, secure, self-service runtime capabilities across cloud-native environments.
Responsibilities
- Design runtime patterns for agents, MCP servers, APIs, and containerized services using AKS, Azure Container Apps, Kubernetes, queues, and events.
- Build reusable infrastructure patterns and platform APIs for consistent provisioning and operation of agent workloads.
- Define standards for agent manifests, runtime configuration, and tool definitions.
- Standardize secure connections to models, MCP servers, and enterprise APIs using approved network, identity, and access-control patterns.
- Provide templates, SDKs, reference implementations, documentation, and onboarding journeys for application teams.
- Ensure agent workloads are observable, scalable, and production-ready.
Technical and professional requirements
- Strong hands-on experience with AKS, Azure Container Apps, Kubernetes, containers, networking, workload identity, ingress, API gateways, private connectivity, secrets management, and cloud-native runtime design.
- Expertise in Terraform, GitHub Actions or equivalent automation, reusable platform modules, deployment templates, and environment-aware provisioning.
- Working knowledge of AI agent architectures and API/service contracts.
- Ability to turn complex runtime and integration patterns into reusable platform products.
- Strong understanding of security, observability, scaling, resilience, cost control, release promotion, and production readiness.
- Ability to work with AI platform, AI Ops, cybersecurity, architecture, and application teams.
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