Azure AI Security Senior Consultant

Deloitte T.T.L.
Kansas City, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Kansas City, United States of America

Tech stack

Artificial Intelligence
Azure
Code Review
Computer Security
Data Governance
Data Integrity
Data Security
Data Stores
Github
Identity and Access Management
Machine Learning
Azure
SQL Databases
Tokenization
Software Security
Generative AI
Data Lake
Bicep
Cosmos DB
Machine Learning Operations
Terraform
Vulnerability Analysis

Job description

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.

Work you'll do

As 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 team

Our 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.

Requirements

  • 4+ years of experience in leading technical consulting or architecting security solutions for Azure platforms

  • 2+ 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, secur

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