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Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityGoogle Cloud PlatformPythonTerraform
About the role
Key responsibilities & impact- Design, build, deploy, configure, and maintain security controls for enterprise AI platforms and services
- Implement technical safeguards for Microsoft Copilot, Azure AI Services, LLM applications, machine learning platforms, and AI-enabled business solutions
- Integrate AI security controls with identity management, DLP, logging, monitoring, CASB, SSE, SIEM, and cloud security platforms
- Develop and maintain AI security automation, workflows, detections, dashboards, reporting, and operational processes
- Build monitoring to detect AI misuse, prompt injection attacks, unauthorized access, sensitive data exposure, and other AI security threats
- Engineer secure implementation patterns for AI applications, model deployment, API integrations, and data ingestion pipelines
- Partner with development and platform teams to implement security requirements throughout the AI lifecycle
- Develop scripts, automations, APIs, and integrations to improve AI security operations and control effectiveness
- Perform technical validation, testing, troubleshooting, tuning, and continuous improvement of AI security controls
- Support incident response, investigations, and remediation involving AI technologies and AI-enabled applications
- Deploy and maintain security tooling for AI monitoring, data protection, governance, and compliance
- Develop technical documentation, implementation guides, standard operating procedures, and operational runbooks
- Provide advanced engineering support for AI-related cybersecurity issues and service requests
Requirements
What you’ll need- Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, Data Science, or another technical discipline; or high school diploma/GED with 4 years of military experience or 1 year of direct AI security experience
- 5+ years of experience implementing or supporting cybersecurity technologies in cloud, application, infrastructure, or security engineering environments
- Unrestricted authorization to work in the USA
- No visa sponsoring available
- Knowledge of security controls in Microsoft Azure, AWS, Google Cloud Platform, or comparable cloud environments
- Proficiency securing Microsoft Copilot, Azure AI Services, Azure OpenAI, Microsoft Purview, Microsoft Defender, Microsoft Sentinel, or related Microsoft technologies
- Familiarity with DLP, CASB, SSE, SIEM, EDR, identity, and cloud-native security controls
- Ability to develop and automate solutions using Python, PowerShell, C#, Terraform, or comparable scripting and infrastructure-as-code technologies
- Knowledge of integrating security controls into AI applications, APIs, data pipelines, development workflows, and AI-enabled systems
- Understanding of generative AI, machine learning platforms, LLMs, RAG, AI application architectures, and AI security and governance frameworks including NIST AI RMF, MITRE ATLAS, and ISO 42001
- Relevant certifications such as CISSP, CCSP, Azure Security Engineer, Security+, or Microsoft AI certifications are preferred
- Familiarity with enterprise security technologies, monitoring, incident response, identity and access management, data protection, network security, and application security practices
Benefits
Comp & perks- Short-term cash incentives, subject to plan requirements
- Medical, dental, and vision benefits
- Wellness incentives
- Retirement benefits
- Paid vacation days, up to 15 days
- Paid sick days, up to 5 days
- Paid personal leave, up to 5 days
- Paid holidays, up to 13 days
- Birth and adoption leave
- Parental leave
- Family and medical leave
- Bereavement leave
- Jury duty leave
- Military leave
- Purchased vacation
- Short-term and long-term disability
- Life insurance and accidental death and dismemberment
- Health Savings Account
- Health Care Spending Account
- Dependent Care Spending Account
- Tuition assistance