Agent Runtime Platform Engineer -banking domain

Urgent requirement for Agent Runtime Platform Engineer  -banking domain(Preffered) is required for our banking clients in Abu Dhabi ,UAE
Strong hands-on experience with AKS, Azure Container Apps, Kubernetes, Docker/containers, networking, ingress, API gateways, and private connectivity.--MustExpertise in Terraform, GitHub Actions/CI-CD, IaC, reusable platform modules, deployment templates, and automated provisioning--MustWorking knowledge of AI agent architectures, MCP servers, APIs, tool integration, agent manifests, and secure agent-to-enterprise service connectivity.---MustStrong understanding of workload identity, RBAC, secrets management, observability, scalability, resilience, security, cost optimization, and operational readiness.--Must
Banking Domain --GTH
 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.