Job Description

As an AI Platform Engineer, you will design, build, and maintain scalable AWS-based AI platforms that enable Generative AI solutions across the organization. You will work with cloud infrastructure, automation, Kubernetes, and Infrastructure as Code to support AI agents, knowledge bases, observability, security, and governance.

Design, build, and maintain secure, scalable, and reliable AWS-based AI platform infrastructure supporting Generative AI solutions across the organization
Provision and manage Amazon Bedrock services, including model access, Knowledge Bases, Guardrails, and related AI platform components
Build and operate AI agent infrastructure, including EKS clusters, vector storage, document ingestion pipelines, and supporting platform services
Develop and maintain Infrastructure as Code (Terraform) and CI/CD pipelines to enable automated, repeatable, and auditable deployments
Implement identity, security, governance, and compliance controls, including federated access, audit logging, and data protection requirements
Establish observability and monitoring for AI workloads, including platform performance, model latency, token usage, and cost management
Collaborate with engineering, data, and product teams to improve platform reliability, scalability, and operational excellence
Create platform documentation, operational runbooks, and self-service capabilities to support adoption and long-term sustainability

Requirements

Proven experience as a DevOps Engineer, AI Platform Engineer, Platform Engineer, Cloud Engineer, or in a similar role
Strong hands-on experience with AWS cloud infrastructure, networking, security, and identity management
Experience with Infrastructure as Code (Terraform) and CI/CD pipelines
Knowledge of Amazon Bedrock and related AI platform services, including Knowledge Bases, Guardrails, and LLM-powered solutions
Experience with vector databases, document ingestion pipelines, and enterprise data integrations
Hands-on experience with Docker, Kubernetes, and Amazon EKS
Understanding of AI application architectures, agent orchestration, observability, and operational monitoring
Proficiency in scripting languages such as Python, Bash, or PowerShell
Experience implementing security, governance, and compliance controls in cloud environments
Fluent English is required in spoken and written communication due to working on the Pan-Baltic level

Company offers

Flexible working hours, Hybrid work, and the possibility to work from anywhere in the EU, Iceland, Switzerland, and the UK (in total 90 days per year)
Teams that go outside Pan-Baltic borders, where people value challenging work together with good humor and having fun
You’ll be joining a team where things move fast, ideas flow freely, and change is part of the everyday. It’s a dynamic environment that keeps you learning, growing, and never bored
Additional weeks of vacation are available to all employees who have been in the company for 1 year or more
We care about giving back to society, therefore, you will get additional days off for volunteering purposes
Luminor offers 30 fully paid calendar days for military training every year
A competitive benefits package in addition to your salary that includes health insurance after the first 3 months pass in all three Baltic states, as well as Health days in case of your absence due to sickness without a doctor's note needed
Access to tools and resources that help you feel good and be productive at work and in life
Internal and external training programs, LinkedIn learning, workshops, conferences, online training, etc
Enjoy special offers & pricing for products and services provided by Luminor