AI Governance & Platform Engineer (ID: 3863)

Stafide; Netherlands; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Growth opportunities

Exposure to enterprise AI projects

Collaboration with tech teams

Job summary

Stafide in the Netherlands is seeking an AI Governance & Platform Engineer to design and maintain AI governance frameworks aligned with best practices. This role involves overseeing Azure AI platforms and ensuring compliance with enterprise risk policies.

The ideal candidate will have over five years of relevant experience and strong knowledge of Azure services, coupled with a solid foundation in AI governance and security practices.

Qualifications

• 5+ years of experience in cloud engineering, AI platform engineering, DevOps, or related technology roles.
• Strong experience with Microsoft Azure cloud services and governance practices.
• Hands-on experience with Azure OpenAI and Azure Machine Learning.

Responsibilities

• Design and maintain AI governance frameworks.
• Define governance processes for the AI lifecycle.
• Collaborate with teams to deliver secure AI platforms.

Skills

Cloud engineering

AI platform engineering

DevOps

Security engineering

Microsoft Azure

AI governance principles

Risk management

Compliance frameworks

Vulnerability management

Automation frameworks

Tools

Azure OpenAI

Azure Machine Learning

CI/CD pipelines

Infrastructure as Code

Job description

Job Description

As an AI Governance & Platform Engineer, you will:

• Design, implement, and maintain AI governance frameworks aligned with enterprise risk policies and responsible AI principles
• Define governance processes across the complete AI lifecycle including data management, model development, deployment, monitoring, compliance, and reporting
• Establish and enforce AI governance controls to ensure AI solutions are secure, compliant, auditable, and aligned with business requirements
• Govern Azure AI platforms including Azure OpenAI, Azure Machine Learning, and Azure AI services
• Implement governance using Azure Policy, RBAC, security controls, and compliance frameworks
• Maintain visibility, inventory, and lifecycle management of AI assets across enterprise environments
• Build and maintain platform engineering solutions, tooling, and automation frameworks supporting AI/ML pipelines
• Develop reusable tools, dashboards, and automation solutions to monitor AI governance compliance and risk exposure
• Integrate governance and security controls into CI/CD pipelines and DevSecOps workflows
• Implement security and vulnerability management practices for AI models, data pipelines, APIs, and AI services
• Perform continuous vulnerability scanning, risk assessment, remediation tracking, and security improvement activities
• Address AI-specific security risks including data leakage, model extraction, and prompt injection vulnerabilities
• Collaborate with security teams, data teams, cloud engineers, compliance teams, and business stakeholders to deliver secure AI platforms

What You Bring to the Table

• 5+ years of experience in cloud engineering, AI platform engineering, DevOps, security engineering, or related technology roles
• Strong experience with Microsoft Azure cloud services, AI platforms, and cloud governance practices
• Hands-on experience with Azure OpenAI, Azure Machine Learning, and Azure AI services
• Strong understanding of AI governance principles, responsible AI practices, risk management, and compliance frameworks
• Experience implementing governance controls using Azure Policy, RBAC, and security management capabilities
• Experience building and maintaining DevOps/MLOps pipelines and automation frameworks
• Strong knowledge of CI/CD practices, DevSecOps principles, and security automation
• Experience with vulnerability management, security scanning, risk assessment, and remediation processes
• Understanding of AI security risks and best practices for securing models, data, APIs, and AI workloads
• Experience with Infrastructure as Code, automation tooling, and policy-as-code approaches
• Strong analytical and problem-solving skills with the ability to translate governance requirements into technical solutions
• Strong communication skills with the ability to collaborate with technical and non-technical stakeholders

You Should Possess the Ability To

• Design and implement scalable AI governance and platform engineering solutions
• Translate AI risk, compliance, and security requirements into automated technical controls
• Build secure and compliant AI platforms aligned with enterprise standards
• Improve visibility, monitoring, and governance maturity across AI environments
• Collaborate effectively with cloud, security, data, and business teams
• Identify security risks and implement sustainable mitigation strategies
• Drive automation and continuous improvement across AI delivery processes
• Work independently while contributing effectively within a collaborative engineering environment

What We Bring to the Table

• Opportunity to work on enterprise AI transformation, governance, and cloud security initiatives
• Exposure to Azure AI platforms, DevSecOps, MLOps, and responsible AI practices
• Opportunity to build secure, scalable, and compliant AI solutions
• Collaboration with cloud, security, data, and technology teams
• Growth opportunities through challenging AI governance and platform engineering projects