AI Governance

ph3Job Description /h3pAs an AI Governance Platform Engineer, you will: /pulliDesign, implement, and maintain AI governance frameworks aligned with enterprise risk policies and responsible AI principles /liliDefine governance processes across the complete AI lifecycle including data management, model development, deployment, monitoring, compliance, and reporting /liliEstablish and enforce AI governance controls to ensure AI solutions are secure, compliant, auditable, and aligned with business requirements /liliGovern Azure AI platforms including Azure OpenAI, Azure Machine Learning, and Azure AI services /liliImplement governance using Azure Policy, RBAC, security controls, and compliance frameworks /liliMaintain visibility, inventory, and lifecycle management of AI assets across enterprise environments /liliBuild and maintain platform engineering solutions, tooling, and automation frameworks supporting AI/ML pipelines /liliDevelop reusable tools, dashboards, and automation solutions to monitor AI governance compliance and risk exposure /liliIntegrate governance and security controls into CI/CD pipelines and DevSecOps workflows /liliImplement security and vulnerability management practices for AI models, data pipelines, APIs, and AI services /liliPerform continuous vulnerability scanning, risk assessment, remediation tracking, and security improvement activities /liliAddress AI-specific security risks including data leakage, model extraction, and prompt injection vulnerabilities /liliCollaborate with security teams, data teams, cloud engineers, compliance teams, and business stakeholders to deliver secure AI platforms /li /ulh3What You Bring to the Table /h3ulli5+ years of experience in cloud engineering, AI platform engineering, DevOps, security engineering, or related technology roles /liliStrong experience with Microsoft Azure cloud services, AI platforms, and cloud governance practices /liliHands-on experience with Azure OpenAI, Azure Machine Learning, and Azure AI services /liliStrong understanding of AI governance principles, responsible AI practices, risk management, and compliance frameworks /liliExperience implementing governance controls using Azure Policy, RBAC, and security management capabilities /liliExperience building and maintaining DevOps/MLOps pipelines and automation frameworks /liliStrong knowledge of CI/CD practices, DevSecOps principles, and security automation /liliExperience with vulnerability management, security scanning, risk assessment, and remediation processes /liliUnderstanding of AI security risks and best practices for securing models, data, APIs, and AI workloads /liliExperience with Infrastructure as Code, automation tooling, and policy-as-code approaches /liliStrong analytical and problem-solving skills with the ability to translate governance requirements into technical solutions /liliStrong communication skills with the ability to collaborate with technical and non-technical stakeholders /li /ulh3You Should Possess the Ability To /h3ulliDesign and implement scalable AI governance and platform engineering solutions /liliTranslate AI risk, compliance, and security requirements into automated technical controls /liliBuild secure and compliant AI platforms aligned with enterprise standards /liliImprove visibility, monitoring, and governance maturity across AI environments /liliCollaborate effectively with cloud, security, data, and business teams /liliIdentify security risks and implement sustainable mitigation strategies /liliDrive automation and continuous improvement across AI delivery processes /liliWork independently while contributing effectively within a collaborative engineering environment /li /ulh3What We Bring to the Table /h3ulliOpportunity to work on enterprise AI transformation, governance, and cloud security initiatives /liliExposure to Azure AI platforms, DevSecOps, MLOps, and responsible AI practices /liliOpportunity to build secure, scalable, and compliant AI solutions /liliCollaboration with cloud, security, data, and technology teams /liliGrowth opportunities through challenging AI governance and platform engineering projects /li /ul /p