AI Platform Engineer

As an AI Platform Engineer, you will contribute to the design, deployment and operation of the infrastructure layer that enables enterprise AI applications, APIs and services.

Working closely with AI, software, cloud and platform engineering teams, you will help establish the shared capabilities required to deploy, scale and operate modern AI workloads. This includes cloud infrastructure, API management, automation, CI/CD, Kubernetes platforms and infrastructure-as-code solutions.

This is an ideal opportunity for someone who enjoys solving complex technical challenges while working across multiple engineering disciplines.

Key Responsibilites

• Contribute to the design, implementation and maintenance of shared AI infrastructure and platform services.
• Support the deployment and operation of AI models, applications and enterprise AI services.
• Build scalable, secure and reliable platform capabilities across cloud, hybrid and on-premises environments.
• Collaborate with engineering teams to deliver infrastructure and deployment work streams.

• Configure and maintain API gateway and API management solutions.
• Support secure and scalable access to AI services and enterprise applications.
• Design and manage API integrations across cloud, on-premises and third-party environments.
• Implement routing, security, authentication and service governance controls.

• Develop and maintain Infrastructure-as-Code solutions using Terraform and related technologies.
• Automate cloud provisioning, deployment and environment management.
• Build reusable infrastructure modules and deployment patterns.
• Support enterprise infrastructure standardisation efforts.

• Develop and maintain CI/CD pipelines supporting AI platform services and model deployments.
• Implement automation for build, deployment and operational workflows.
• Improve software delivery processes and deployment consistency.
• Support Dev Sec Ops  and modern engineering practices.

• Support deployment, serving and operationalisation of AI and machine learning workloads
• Assist with AI model integration into enterprise platforms and applications.
• Support model serving infrastructure and inference platforms.
• Monitor platform performance, scalability and reliability.

• Produce and maintain technical documentation.
• Develop deployment guides, operational procedures and support materials.
• Support knowledge sharing and best-practice adoption across engineering teams.
• Contribute to ongoing platform improvement initiatives.

What We're Looking For

• Minimum 4 years' professional experience in platform engineering, cloud engineering, Dev Ops, infrastructure or related disciplines.
• Experience deploying and operating enterprise applications and services across cloud and hybrid environments.
• Hands-on experience working across software, cloud, AI and platform engineering teams.
• Experience supporting production environments and business-critical systems.
• Strong understanding of software delivery, operational support and infrastructure management.

Cloud & Platform Engineering

• Strong hands-on experience with Microsoft Azure.
• Experience deploying, managing and integrating cloud-based applications and services.
• Understanding of hybrid cloud architectures and enterprise environments.

API Management

• Strong experience with API gateways and API management platforms.
• Experience with Azure API Management (APIM) highly desirable.
• Understanding of:
  • Routing
  • Load balancing
  • Failover
  • Authentication
  • Authorization
  • Service integration

Containers & Kubernetes

• Strong experience with Docker and containerised environments.
• Experience deploying and operating…