AI Platform Engineer: Developer Platform & Capabilities

Sentior, Ltd.; Amstelveen; Remote; EUR 85,000 - 135,000; Full time

Job summary

ABN AMRO Bank Amstelveen seeks an experienced AI Platform Engineer to turn AI best practices into reusable platform services, SDKs, and templates. You will help ensure AI solutions are scalable, secure, compliant, and easy to adopt across domains.

You will define AI architecture standards, build shared AI services, and develop reference implementations for ML, GenAI, and AI agents. Collaboration with security, governance, and regulatory teams is essential.

Qualifications

• Strong Python software engineering skills with design patterns and packaging.
• Azure knowledge including IAM / Entra ID and networking.
• Experience with DevOps, CI/CD, automated testing and deployment strategies.
• Kubernetes reliability engineering, observability, scalability and availability.
• Experience with ML lifecycle, MLOps, Generative AI, AI Agents, and RAG.
• Understanding of AI evaluation, monitoring, security, governance and architecture.

Responsibilities

• Define and maintain AI architecture standards and reference architectures.
• Translate AI patterns into enterprise-ready standards and reusable capabilities.
• Build shared AI services covering security, access management, observability, and scalability.
• Develop SDKs, templates, accelerators, and reference implementations for ML, GenAI, AI agents, and AI systems.
• Improve the AI developer experience and drive adoption across domains.
• Design cloud-native solutions, CI/CD pipelines, and platform automation.
• Integrate AI services, AKS, and supporting platforms.
• Collaborate with architecture, security, risk, data governance, and regulatory teams.

Skills

Python

Azure

CI/CD

Kubernetes

MLOps

LLMOps

Generative AI

AI Agents

RAG

Observability

Security governance

Architecture

Job description

ABN AMRO Bank Amstelveen seeks an experienced AI Platform Engineer to turn AI best practices into reusable platform services, SDKs, and templates. You will help ensure AI solutions are scalable, secure, compliant, and easy to adopt across domains.

You will define AI architecture standards, build shared AI services, and develop reference implementations for ML, GenAI, and AI agents. Collaboration with security, governance, and regulatory teams is essential.