Agent Runtime Platform Engineer

Role Overview: We are seeking an Agent Runtime Platform Engineer to design and build the enterprise runtime foundation for AI agents and agentic applications. This role is focused on platform engineering first, 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 such as AKS, Azure Container Apps, Kubernetes, APIs, event-driven services, and container platforms.

Key Responsibilities

• Agent Runtime Platform: Design and engineer runtime patterns for agents, MCP servers, APIs, containerized services using AKS, Azure Container Apps, Kubernetes, queues, events, and cloud-native infrastructure.
• Platform Engineering Standards: Build reusable infrastructure patterns, and platform APIs that allow teams to provision and operate agent workloads consistently across environments.
• Agent Engineering Standards: Define standards for agent manifests, runtime configuration, tool definitions, so agent workloads can be managed at scale.
• Secure Integration Patterns: Standardize how agents connect to model, MCP servers and enterprise APIs using approved network, identity, and access-control patterns.
• Developer Self-Service: Provide paved-road templates, SDKs, reference implementations, documentation, and onboarding journeys that help application teams build and deploy agents without recreating runtime or infrastructure decisions.
• Operational Readiness: Ensure agent workloads are observable, scalable, and production-ready.

Technical & 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 practices.
• Working knowledge of AI agent architectures and API/service contracts.
• Ability to convert complex runtime and integration patterns into simple, reusable platform products for engineering teams.
• Strong understanding of security, observability, scaling, resilience, cost control, release promotion, and operational readiness for production workloads.
• Ability to work closely with AI platform engineers, AI Ops, cybersecurity, architecture, and application teams.