About Our Team
As an Azure AI Senior Security Solution Architect, you will be at the forefront on innovative solutions with unique AI security needs and focused on securing Artificial Intelligence and Machine Learning solutions on the Microsoft Azure platform.
Cybersecurity Operations is a pivotal role responsible for safeguarding platform digital assets through proactive vulnerability management, advanced threat hunting, and swift incident response. This position leverages leading cloud security tools to monitor, analyze, and respond to security alerts, ensuring the resilience and integrity of our technology infrastructure. In addition to core cybersecurity responsibilities, this role works closely with IT and DevOps teams to ensure seamless integration of security controls, foster collaboration, and support secure development and operational practices.
We recently introduced Qira, our new cross‑device Personal AI that works seamlessly across Lenovo and Motorola products. More information can be found here:
Location: open to remote work in the US. Chicago, IL is highly preferred.
What You'll Do
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.
Perform AI model analysis/usage alerting.
Automate security guardrails via Azure Policies, ARM/Bicep templates and modules to ensure consistent security across Azure AI services.
Lead and manage security incident response efforts and implement responsible AI Patterns.
Analyze threat intelligence to identify and address threats.
Continuously identify and remediating vulnerabilities.
Basic Qualifications
Bachelor’s degree in Computer Science, Information Security, or a related field
8+ years of hands‑on experience in cybersecurity operations, with demonstrated expertise in vulnerability management, threat hunting, and incident response.
Experience building out KQL queries and dashboards around System/AI Security
2+ years of experience with AI Firewall solutions such as Azure AI Content Safety/proxy configurations.
Experience with cloud security platforms (e.g., Microsoft Azure, Intune, Defender for Cloud, etc).
Experience with automation and scripting for security operations (e.g., Python, PowerShell).
Experience with Responsible AI Controls (fairness, safety, privacy, transparency).
Advanced Microsoft Sentinel configuration
Microsoft Defender for Cloud and AI
SOC Type II Compliance Prep and Reporting
Preferred Qualifications
Deep understanding of security frameworks (e.g., NIST, MITRE ATT&CK, CIS Controls) and regulatory requirements.
Strong analytical and problem‑solving skills; ability to communicate complex technical issues clearly to multiple audiences, including IT and DevOps teams.
Understanding of AI Attack patterns and threat hunting.
Relevant certifications such as CISSP, GIAC, CEH, or AWS/Azure/GCP security certifications.
The base salary range budgeted for this position is $185,000 - $200,000. Individuals may also be considered for bonus and/or commission.
Lenovo’s various benefits can be found at www.lenovobenefits.com.
As an Azure AI Senior Security Solution Architect, you will be at the forefront on innovative solutions with unique AI security needs and focused on securing Artificial Intelligence and Machine Learning solutions on the Microsoft Azure platform.
Cybersecurity Operations is a pivotal role responsible for safeguarding platform digital assets through proactive vulnerability management, advanced threat hunting, and swift incident response. This position leverages leading cloud security tools to monitor, analyze, and respond to security alerts, ensuring the resilience and integrity of our technology infrastructure. In addition to core cybersecurity responsibilities, this role works closely with IT and DevOps teams to ensure seamless integration of security controls, foster collaboration, and support secure development and operational practices.
We recently introduced Qira, our new cross‑device Personal AI that works seamlessly across Lenovo and Motorola products. More information can be found here:
Location: open to remote work in the US. Chicago, IL is highly preferred.
What You'll Do
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.
Perform AI model analysis/usage alerting.
Automate security guardrails via Azure Policies, ARM/Bicep templates and modules to ensure consistent security across Azure AI services.
Lead and manage security incident response efforts and implement responsible AI Patterns.
Analyze threat intelligence to identify and address threats.
Continuously identify and remediating vulnerabilities.
Basic Qualifications
Bachelor’s degree in Computer Science, Information Security, or a related field
8+ years of hands‑on experience in cybersecurity operations, with demonstrated expertise in vulnerability management, threat hunting, and incident response.
Experience building out KQL queries and dashboards around System/AI Security
2+ years of experience with AI Firewall solutions such as Azure AI Content Safety/proxy configurations.
Experience with cloud security platforms (e.g., Microsoft Azure, Intune, Defender for Cloud, etc).
Experience with automation and scripting for security operations (e.g., Python, PowerShell).
Experience with Responsible AI Controls (fairness, safety, privacy, transparency).
Advanced Microsoft Sentinel configuration
Microsoft Defender for Cloud and AI
SOC Type II Compliance Prep and Reporting
Preferred Qualifications
Deep understanding of security frameworks (e.g., NIST, MITRE ATT&CK, CIS Controls) and regulatory requirements.
Strong analytical and problem‑solving skills; ability to communicate complex technical issues clearly to multiple audiences, including IT and DevOps teams.
Understanding of AI Attack patterns and threat hunting.
Relevant certifications such as CISSP, GIAC, CEH, or AWS/Azure/GCP security certifications.
The base salary range budgeted for this position is $185,000 - $200,000. Individuals may also be considered for bonus and/or commission.
Lenovo’s various benefits can be found at www.lenovobenefits.com.