Azure AI Security Senior Consultant at Deloitte Indianapolis

Azure AI Security Senior Consultant

Azure AI Security Senior Consultant job ianapolis, IN. Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever‑changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Recruiting for this role ends on 5/29/2026.

• Leading the security implementation for various Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services, and Azure AI Studio, ensuring protection from development to deployment.
• Architecting, designing, and implementing comprehensive security playbooks for AI models, focusing on encryption, access control, data integrity, model scanning, and overall AI model governance.
• Developing and enforcing security controls for Microsoft Copilot and Git Hub Copilot usage, encompassing data governance, content filtering, access management, code scanning, vulnerability detection, and intellectual property protection.
• Designing and building secure Continuous Integration/Continuous Delivery (CI/CD) pipelines specifically tailored for the training, tuning, and deployment of Machine Learning and Generative AI models, ensuring security is embedded throughout the MLOps lifecycle.
• Establishing and maintaining secure development environments within Azure AI Studio and Azure Machine Learning Studio, with seamless integration of Git Hub Copilot and Microsoft Copilot environments.
• Implementing robust controls for model registries and AI model repositories to scan for and mitigate vulnerabilities, ensuring the integrity and security of all stored models.
• Securing the underlying Azure platform by implementing appropriate cyber security controls to protect sensitive data stores and large language model (LLM) services.
• Automating security guardrails through the development and deployment of Azure Policies, ARM templates, Bicep templates, and Terraform modules, ensuring consistent application of security controls across Azure AI services.
• Managing data security by implementing encryption, tokenization, anonymization, and access control for various Azure data stores, including Azure Storage, Azure SQL Database, Azure Cosmos DB, and Azure Data Lake.
• Deploying and configuring AI Firewall solutions, such as Azure AI Content Safety and security proxies, to effectively detect and prevent sophisticated attacks like prompt injection, jail breaking attempts, and data leakage.
• Leading the secure deployment of Azure Machine Learning models on various Azure compute services, including Azure Kubernetes Service (AKS), Azure Container Instances (ACI), and serverless endpoints, ensuring secure and scalable AI deployments.
• Conducting rigorous testing and validation, including adversarial testing, bias detection, model monitoring, and red team exercises, for Azure AI services and Copilot implementations to identify and remediate security weaknesses.
• Deploying runtime scanners and monitoring solutions to detect vulnerabilities and anomalies in deployed AI models, enabling proactive threat detection and response.
• Deploying and managing AI Security Posture Management (AI‑SPM), Cloud Security Posture Management (CSPM), and Data Security Posture Management (DSPM) modules within Microsoft Defender for Cloud or leveraging third‑party tools for comprehensive security posture management.
• Ensuring continuous compliance through the utilization of Azure Policy, Microsoft Purview, and Azure Defender capabilities for automated auditing, compliance monitoring, and the generation of detailed reporting dashboards.
• Implementing Responsible AI Controls, focusing on fairness, reliability, safety, privacy, inclusiveness, transparency, and accountability measures across all AI solutions, promoting ethical and secure AI development.
• Configuring advanced content safety filters for harmful content detection within generative AI applications, safeguarding against misuse and malicious…