Ai governance & platform engineer

• 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, * 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

• 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