Azure AI Security Senior Consultant

Job Description

Position SummaryAzure AI Senior ConsultantPosition SummaryOur 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 5/29/202Work you’ll doAs an Azure AI Senior Consultant, you will be at the forefront with our clients, supporting their AI security needs and helping them secure Artificial Intelligence and Machine Learning solutions on the Microsoft Azure platform. You will:Lead security implementation of Azure AI Services (OpenAI Service, Machine Learning, Cognitive Services, AI Studio), ensuring protection from development to deployment. Design and implement security playbooks for AI models, addressing encryption, access control, data integrity, model scanning, and AI model governance.

Develop and enforce security controls for Microsoft Copilot and GitHub Copilot, including data governance, access management, code scanning, and vulnerability detection. Build secure CI/CD pipelines for training, tuning, and deploying Machine Learning and Generative AI models, embedding security throughout the MLOps lifecycle.

Manage data security through encryption, tokenization, anonymization, and access control for Azure data stores (e. g. , Azure Storage, SQL Database, Cosmos DB, Data Lake).

Automate security guardrails via Azure Policies, ARM/Bicep templates, and Terraform modules to ensure consistent security across Azure AI services. The teamOur Enterprise Security offering embeds security in all aspects of digital transformation by securing a client’s technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

QualificationsRequired:4+ years of experience in leading technical consulting or architecting security solutions for Azure platforms2+ years of hands-on experience with Microsoft Copilot, GitHub Copilot, and Azure AI Services, including Azure Machine Learning and Azure OpenAI. 2+ years of experience implementing and managing security controls in MLOps pipelines, securing AI models from development through deployment.

Implementation of at least two cryptographic methods for AI or cloud environments within the last two years. 2+ years of experience with AI Security Posture Management (AI-SPM) tools such as Microsoft Defender for Cloud or equivalent third-party tools. 1+ years of experience in programming with Python or Java focusing on secure, scalable AI solutions.

2+ years of experience in designing, implementing, and securing MLOps pipelines, encompassing model registry security, secure model deployment, and runtime security monitoring for AI models. Ability to travel 20–30%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available.

Preferred:Bachelor’s degree, accredited, in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology. Microsoft role-based certifications (e. g.

, Azure AI Engineer Associate, Azure Security Engineer Associate), CCSP, CCSK, CISSP. Experience with Responsible AI Controls (fairness, safety, privacy, transparency). Prior experience developing secure pipelines (CI/CD) for the deployment of AI services in multi-cloud environments.

EWJD3