AI Governance & Platform Engineer

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 Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Asha Krishnan Phone: ; Extn :146 Email: LinkedIn: