Lead AI Platform Engineer (m/f/d)

Lease a Bike Deutschland

18h • Remote

About The Position

Bike Mobility Services GmbH is hiring a Lead AI Platform Engineer to own and build its AI platform on AWS and Snowflake. The platform will support data scientists, AI engineers, and business teams in developing and deploying AI capabilities for the company’s digital Lease a Bike portal and related business processes. The role co-owns the platform’s architecture and roadmap with the Head of Data & AI, and makes decisions about what to adopt, build, or buy. It is a hands-on technical leadership position focused on helping teams ship models and agents quickly, safely, and with transparent costs.

The engineer will establish infrastructure, access, deployment, security, and governance standards in collaboration with IT, security, and ML & AI engineers. They will build platform components using Terraform on the AWS foundation and GitLab setup maintained by the cloud engineering team. Responsibilities span AWS Bedrock model access and guardrails, SageMaker and GPU workloads, orchestration and CI/CD integrated with Snowflake, reusable components and self-service deployment, and tools for tracing, evaluation, monitoring, and per-service cost visibility. The role also implements least-privilege access, audit trails, and technical guardrails for responsible AI, and helps non-technical colleagues use approved AI tools safely.

The successful candidate will mentor junior colleagues and help establish engineering standards as the AI team grows. The role is 100% remote from anywhere in the EU, with regular team meetings in one of the company’s operating countries. The hiring process consists of an introductory interview followed by a technical conversation.

Requirements

• At least 6 years of experience in platform engineering, DevOps, cloud engineering, or MLOps, including designing and operating platforms in production.
• Strong AWS skills and hands-on experience with Terraform or AWS CDK.
• Experience building security into systems from the start, including access control, secrets, and audit logging.
• Experience with CI/CD such as GitLab CI, Docker, workflow orchestration such as Airflow, and Snowflake or a comparable cloud data platform.
• Experience running ML and LLM workloads in production, including managed model access, guardrails, evaluation, and cost control.
• Ability to make and explain defensible architecture decisions, guide other engineers, use AI coding tools daily, and explain trade-offs to non-technical colleagues.
• Fluent English.

Nice To Haves

• Experience with MCP servers or other infrastructure for AI agents.
• Experience with Kubernetes and self-hosted model serving such as vLLM.
• Working knowledge of GDPR and the EU AI Act.
• Conversational German or Dutch.

Responsibilities

• Co-own the AI platform architecture and roadmap with the Head of Data & AI, including decisions about what to adopt, build, or buy.
• Set infrastructure, access, and deployment standards with IT, security, and ML & AI engineers.
• Build AI platform components with Terraform on the AWS foundation and GitLab setup.
• Operate AWS Bedrock as a model gateway, including access, guardrails, quotas, and cost controls by team.
• Scale SageMaker and GPU workloads and determine when managed APIs are sufficient.
• Provide orchestration and CI/CD integrated with Snowflake, plus reusable components and self-service deployment.
• Provide tracing, evaluation, monitoring, and per-service cost visibility for models and agents.
• Implement least-privilege access, audit trails, and technical guardrails for responsible AI.
• Help non-technical colleagues use approved AI tools safely.
• Mentor junior colleagues and establish engineering standards for the growing AI team.

Benefits

• Subsidized bike lease and bike purchase.
• Home office equipment.
• Learning budget and conference days.
• 100% remote work from anywhere in the EU, with regular team meetings in one of the operating countries.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed