The Role
Designs and maintains enterprise AI governance frameworks, controls, and lifecycle processes across Azure AI platforms. Builds platform engineering tools, automation, dashboards, and DevSecOps integrations for secure, compliant AI/ML delivery. Performs vulnerability management and risk assessment addressing AI-specific threats such as data leakage, model extraction, and prompt injection. Collaborates with cloud, security, data, compliance, and business teams to improve governance maturity and deliver scalable AI platforms.
Summary Generated by Built In
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
LinkedIn: https://www.linkedin.com/in/ashakrishnan07/
Skills Required
- 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
- 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
- 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
- Strong communication and collaboration skills with technical and non-technical stakeholders
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The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
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