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  1. Home
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  3. AI Governance & Platform En...

AI Governance & Platform Engineer (ID: 3863)

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STAFIDE logo

AI Governance & Platform Engineer (ID: 3863)

STAFIDE

Location

Amsterdam, Netherlands

Experience

Mid

Posted

Jul 14, 2026

Apply by

August 13, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Sign in to apply on web or download the app for more options.

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 Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Asha Krishnan Phone: +31 20 369 0609 ; Extn :146 Email: asha.k@stafide.nl LinkedIn: https://www.linkedin.com/in/asha-krishnan

Key Responsibilities

  • Design and maintain AI governance frameworks aligned with enterprise risk policies
  • Define governance processes across the complete AI lifecycle including data management and model deployment
  • Establish and enforce AI governance controls to ensure security and compliance
  • Govern Azure AI platforms including Azure OpenAI, Azure Machine Learning, and Azure AI services
  • Implement governance using Azure Policy, RBAC, and security controls
  • Maintain visibility and lifecycle management of AI assets across enterprise environments
  • Build platform engineering solutions and automation frameworks for AI/ML pipelines
  • Develop tools and dashboards to monitor AI governance compliance and risk exposure
  • Integrate governance controls into CI/CD pipelines and DevSecOps workflows
  • Implement security and vulnerability management practices for AI models and data pipelines
  • Perform continuous vulnerability scanning and risk assessment
  • Address AI-specific security risks such as data leakage and prompt injection
  • Collaborate with security, data, cloud, and compliance teams

Skills Required

Microsoft AzureAzure OpenAIAzure Machine LearningAzure AI servicesAzure PolicyRBACDevOpsMLOpsCI/CDDevSecOpsInfrastructure as CodePolicy-as-codeVulnerability managementSecurity scanningRisk assessmentAnalytical skillsProblem-solvingCommunicationCollaborationAbility to translate requirements into technical solutions

Benefits

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

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Job Overview

Salary

—

Job Type

Full-time

Experience

Mid

Location

Amsterdam, Netherlands

Application Deadline

August 13, 2026

Total Applicants

0

About STAFIDE

STAFIDE logo

STAFIDE is a leading company in the Technology sector, known for innovation and employee-centric culture.

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