AI Gateway Engineer

Nordea

Gdańsk, GD, Poland • 52m ago • On-site

Mid

On-site

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Quick Facts

  • Role: AI Gateway Engineer (Data Mesh and AI Platforms team)

  • Focus: Enterprise AI Gateway engineering for LLM, MCP, and A2A patterns

  • Work model: Hybrid (up to 40% remote), with hiring in Gdańsk/Gdynia (Poland) or Helsinki (Finland)

Description

Join the Data Mesh and AI Platforms team to design, build, and operate an enterprise AI Gateway. You will extend API platform/gateway capabilities to support LLM, MCP, and A2A integrations with automation so the solution is reliable, reusable, and production-ready. Work closely with security, governance, risk, compliance, and cloud platform teams to ensure secure and governed AI access in a regulated banking environment.

Responsibilities

  • Design, build, and operate AI Gateway capabilities using API platform and gateway engineering practices

  • Implement secure, reusable gateway patterns for LLM access, MCP servers, and A2A agent-to-agent integrations

  • Build infrastructure-as-code with Terraform and automate provisioning of gateway components

  • Develop 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 (e.g., using Lua and Python) for custom gateway capabilities and integrations

  • Integrate the AI Gateway with enterprise identity providers to support authentication, authorization, and access control

  • Set up logging, monitoring, and alerting (observability dashboards and operational insights using Splunk, Prometheus, and Grafana)

  • Establish FinOps capabilities for AI Gateway usage, including cost visibility and consumption tracking

  • Support onboarding of new use cases and contribute to documentation, reusable templates, and engineering standards

Requirements

  • Hands-on experience designing, configuring, and operating API platforms and gateways in enterprise environments

  • Experience with API gateway technologies such as Kong or IBM API Connect/DataPower (or similar)

  • Strong Terraform and infrastructure-as-code experience

  • Kubernetes and Helm experience for deploying and managing gateway components

  • Solid CI/CD pipeline and source control/release workflow knowledge

  • Python and Lua knowledge for creating and maintaining Kong plugins

  • Identity provider (IdP) integration experience, including authentication/authorization/access control patterns

  • Experience setting up logging, monitoring, and alerting with tools such as Splunk, Prometheus, and Grafana

  • Understanding of FinOps: cost visibility, consumption tracking, and cost guardrails

  • Experience with OpenAPI specifications, API contracts, gateway policies, and developer-facing documentation

  • Ability to collaborate with architects, cybersecurity, risk and compliance teams in a regulated environment

  • BSc or MSc in a related discipline (or equivalent practical experience)

  • Professional experience as a Platform Engineer, API Gateway Engineer, DevOps Engineer, Platform Architect, or similar

Benefits

  • Employment: Full-time permanent position

  • Work model: Hybrid (up to 40% remote work possible)

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