AI Governance & Platform Engineer (ID: 3863)
Key Skills
Job Description
- 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
- 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
- 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
- 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
Core Responsibilities
You will design and implement AI governance frameworks and platform engineering solutions to ensure secure, compliant, and auditable AI operations. This involves managing Azure AI platforms, automating compliance monitoring, and integrating security controls into CI/CD pipelines.
Requirements
The role requires over 5 years of experience in cloud engineering, AI platform engineering, or security roles with strong expertise in Microsoft Azure. Candidates must possess deep knowledge of AI governance principles, MLOps, and security vulnerability management.
Benefits
- Enterprise AI transformation projects
- Cloud security initiatives
- Professional growth opportunities
About STAFIDE
Industry: Staffing and Recruiting
Company size: 11-50 employees
Headquartered in the Netherlands, STAFIDE specializes in Niche Tech Recruitment across Europe, connecting top talent with outstanding opportunities in the IT sector. Our data-driven recruitment model ensures the ideal match between candidates and employers, enhancing both skill alignment and cultural fit. With a strong focus on Skill-Based Hiring, we provide candidates with an in-depth understanding of the organization—whether for permanent positions or temporary assignments (interim opdrachten) like secondment (detachering)—strengthening employer branding for our clients as a recruitment company (uitzendbureau). In today’s fast-evolving tech landscape, we recognize the unique challenges companies face in sourcing highly skilled talent. Our advanced, AI-driven talent intelligence system (ATS) is specifically designed to prioritize Skill-Based Hiring for niche IT roles, empowering organizations to address talent shortages by identifying professionals with the expertise to drive innovation and growth. Whether you’re a company in search of exceptional talent or a professional seeking your next ICT role, STAFIDE is your strategic recruitment (werving en selectie) partner. Our deep expertise in the Dutch market, combined with a steadfast commitment to excellence, makes us the preferred choice for all your recruitment needs.