Agent Runtime Platform Engineer (m/f/d)
Role Overview
Design and build the enterprise runtime foundation for AI agents and agentic applications.
Focus on platform engineering, informed by agent engineering standards and deployment patterns.
Create secure, reusable, self-service runtime capabilities for deployment 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, informed by agent engineering standards and deployment patterns.
Create secure, reusable, self-service runtime capabilities for deployment across cloud-native environments.
Platform and agent runtime
- Design runtime patterns for agents, MCP servers, APIs, containerized services, AKS, Azure Container Apps, Kubernetes, queues, events, and cloud-native infrastructure.
- Build reusable infrastructure patterns and platform APIs for consistent provisioning and operation across environments.
- Define standards for agent manifests, runtime configuration, and tool definitions to manage workloads at scale.
- Standardize secure agent connections to models, MCP servers, and enterprise APIs using approved network, identity, and access controls.
Developer enablement and operations
- Provide paved-road templates, SDKs, reference implementations, documentation, and onboarding journeys for application teams.
- Ensure agent workloads are observable, scalable, and ready for production.
Technical 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.
- Strong understanding of security, observability, scaling, resilience, cost control, release promotion, and production readiness.
Professional capabilities
- Turn complex runtime and integration patterns into simple, reusable platform products for engineering teams.
- Work closely with AI platform engineers, AI Ops, cybersecurity, architecture, and application teams.
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