AI Gateway Engineer – Data Mesh and AI Platforms Team

We are looking for an AI Gateway Engineer for our client – an international financial organization developing modern cloud, data and AI platforms.

You’ll help design, build and operate an enterprise AI Gateway, extending API platforms to support LLM, MCP and A2A patterns. This is a hands-on engineering role focused on secure, reusable and production-ready AI capabilities.

The Data Mesh and AI Platforms team is part of the Integration and AI unit. The team develops integration and AI platforms, including Kong and Kafka, and is now extending this platform approach to an enterprise AI Gateway.

You’ll work closely with architects, cybersecurity, data governance, risk, compliance, cloud platform and engineering teams in a regulated banking environment.

Main responsibilities:

• Design, build and operate AI Gateway capabilities based on strong API platform and gateway engineering practices.
• Implement secure and reusable gateway patterns for LLM access, MCP servers, and A2A agent-to-agent integrations.
• Develop and maintain infrastructure-as-code using Terraform and support automated provisioning of gateway components.
• Build and improve CI/CD pipelines, source control workflows, and release practices for gateway configuration and platform changes.
• Set up and automate gateway policies to expose AI capabilities in a consistent, governed, and developer-friendly way.
• Create and extend Kong plugins using languages such as Lua and Python to support custom gateway capabilities and integrations.
• Integrate the AI Gateway with enterprise identity providers and support authentication, authorization, and access control patterns.
• Set up logging, monitoring and alerting for gateway services, including observability dashboards & operational insights using tools such as Splunk, Prometheus, and Grafana.
• Establish FinOps capabilities for AI Gateway usage, including cost visibility, consumption tracking, and support for cost control mechanisms.
• Support onboarding of new use cases onto the AI Gateway and contribute to platform documentation, reusable templates, and engineering standards

This is the right role for you if you:

• Are a strong platform engineer: You have hands-on experience designing, configuring, and operating API platforms and gateways in enterprise environments.
• Are comfortable with modern engineering and operational practices: You have solid knowledge of Terraform, CI/CD, source control, IdP integration, monitoring, alerting, and automated deployment patterns.
• Understand AI integration patterns: You have, or are motivated to build, knowledge of LLM access patterns, MCP, A2A, and how these can be secured and governed through gateway capabilities across cloud-native AI stacks.

Education/experience:

• A BSc or MSc in Computer Science, Engineering, Business Informatics, or a related discipline, or equivalent practical experience.
• Professional experience as a Platform Engineer, API Gateway Engineer, DevOps Engineer, Platform Architect, or similar hands-on engineering role.

Required qualifications

• Strong hands-on experience with API platforms and gateway technologies in enterprise environments.
• Experience with gateway platforms such as Kong, IBM API Connect/DataPower, cloud-native gateways, or similar API management technologies.
• Solid knowledge of Terraform and infrastructure-as-code practices.
• Experience with Kubernetes and Helm charts for deploying and managing platform or gateway components.
• Solid knowledge of CI/CD pipelines, source control workflows, and automated release practices.
• Solid knowledge of Python and Lua for creating, extending, and maintaining Kong plugins.
• Solid knowledge of IdP integration, authentication, authorization, and access control patterns for gateways.
• Experience setting up logging, monitoring, and alerting, including work with observability tools such as Splunk, Prometheus, and Grafana.
• Understanding of FinOps practices, including cost visibility, consumption tracking, and guardrails for platform usage.
• Experience working with OpenAPI specifications, API contracts, gateway policies, and developer-facing platform documentation.
• Ability to work closely with architects, security, risk, compliance, and engineering teams in a regulated environment.

Preferred qualifications

• Experience with Kong API/AI Gateway specifically.
• Experience deploying gateways to cloud platforms such as AWS, Azure, or GCP.
• Familiarity with cloud platforms such as AWS, GCP, or Azure and cloud-native AI services such as Bedrock, AWS Agent Core, Google Gemini AI, or Azure AI Foundry.

The offer:

• Hybrid working model with up to 40% remote work.
• Attractive benefits package.
• Private healthcare and life insurance.
• Multisport / sports benefits.
• Flexible working hours.
• Training and professional certification opportunities.
• Work with modern AI, API, cloud and platform technologies.
• International environment and collaboration with experienced specialists.
• Modern office and flexible working environment.
• Strong opportunities for career development and continuous learning.
• Inclusive workplace with a strong focus on work-life balance.