AI Security Engineer

Job Description

Job Title/Role: AI Data Security Engineer

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Key Skills: AI Security Frameworks

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Experience: 8-12 Years’ experience

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Location: Dallas, Texas

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We at Coforge are hiring an experienced AI Security Engineer— Data Security & DSPM to lead the end-to-end security architecture for Agentic AI platform and own the data security mandate for AI systems. This senior role consolidates two Critical scopes — agentic AI security architecture and Data Security Posture Management (DSPM) — into a single accountable owner who designs the secure platform and protects the data flowing through it.

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Key Responsibilities

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• Implement and maintain security controls for Agentic AI platforms, AI copilots, and intelligent agents deployed across Azure and AWS.

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• Configure and support Microsoft Purview DSPM for AI, including AI data discovery, monitoring, and governance.

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• Implement and manage sensitivity labels, data classification, and ML-based auto-classification controls.

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• Secure AI data pipelines and monitor data flows between AI agents, APIs, enterprise applications, and data sources.

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• Develop and enforce secure agent-to-agent, agent-to-API, and agent-to-data access mechanisms.

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• Configure and manage security tooling, including:

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• Microsoft Sentinel

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• Microsoft Entra ID

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• Microsoft Defender for Cloud

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• Microsoft Defender XDR

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• Perform threat modeling, vulnerability assessments, and security reviews of AI applications and agentic workflows.

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• Monitor security incidents, investigate threats, and implement remediation plans for AI environments.

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• Collaborate with Identity Management, Application Security, Cloud Engineering, and GRC teams to maintain a secure AI ecosystem.

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• Support Zero Trust security initiatives and enterprise compliance requirements.

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• Develop security automation, detection rules, and monitoring dashboards for AI workloads.

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• Assist in AI security audits, risk assessments, and governance reviews.

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Required Skills & Experience

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• Bachelor’s degree in computer science, Cybersecurity, Information Security, or a related field.

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• 4+ years of experience in Cybersecurity, Cloud Security, or Security Engineering roles.

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• Experience securing Azure cloud environments and cloud-native applications.

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• Good understanding of AWS security services, including:

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• IAM

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• AWS Lambda

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• Amazon Bedrock

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• CloudTrail

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• Security Hub

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• Experience implementing data protection controls, data classification, and security monitoring solutions.

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• Familiarity with API security concepts including OAuth, OpenID Connect, JWT, and secure API gateways.

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• Understanding of AI/LLM security risks such as:

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• Prompt Injection

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• Data Leakage

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• Model Abuse

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• Unauthorized Access

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• Sensitive Data Exposure

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• Experience with scripting and automation using PowerShell, Python, or similar technologies.

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Preferred Qualifications

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• Experience securing Microsoft Copilot Studio, Azure AI Services, Azure OpenAI, or similar AI platforms.

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• Knowledge of AI governance and responsible AI frameworks.

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• Experience working in regulated industries such as Healthcare, Life Sciences, Financial Services, or Manufacturing.

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• Exposure to DevSecOps practices and CI/CD security controls.

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• Familiarity with Zero Trust Architecture and Cloud Security Posture Management (CSPM).

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