AI Governance & Platform Engineer (ID: 3863)

Job title: AI Governance & Platform Engineer (ID: 3863)

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