Popular is Puerto Rico's leading financial institution, and they are seeking an AI Cyber Defense Engineer - Emerging Risks. This role is responsible for designing, building, and improving AI-driven ...

2 Popular Jobs Hiring in Puerto Rico
Popular is Puerto Rico's leading financial institution, and they are seeking an AI Cyber Defense Engineer - Emerging Risks. This role is responsible for designing, building, and improving AI-driven ...
Cloud Security Engineer
San Juan, PR · On-site
Popular is Puerto Rico's leading financial institution, evolving over a century to provide a wide variety of financial services. The Cybersecurity Engineer will serve as a Subject Matter Expert ...
Cloud Security Engineer
San Juan, PR · On-site
Popular is Puerto Rico's leading financial institution, evolving over a century to provide a wide variety of financial services. The Cybersecurity Engineer will serve as a Subject Matter Expert ...
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Full-time
Re-posted 12 days ago
Job description
Job Summary:
Popular is Puerto Rico’s leading financial institution, and they are seeking an AI Cyber Defense Engineer – Emerging Risks. This role is responsible for designing, building, and improving AI-driven cyber defense capabilities with a focus on threat detection, prevention, response, and remediation.
Responsibilities:
• Support the design, testing, and implementation of AI-enabled cyber defense capabilities across prevention, detection, protection, response, and remediation.
• Evaluate emerging AI, machine learning, automation, and analytics tools for practical cybersecurity use cases.
• Assess how threat actors may use AI to accelerate reconnaissance, social engineering, vulnerability discovery, exploitation, malware generation, credential attacks, and evasion techniques.
• Develop defensive AI use cases that improve threat detection, anomaly analysis, attack path mapping, control validation, incident triage, and remediation decisioning.
• Contribute to the organization’s broader strategy for emerging cyber risks, including AI-enabled threats, autonomous agents, quantum-related risks, supply chain compromise, and advanced offensive cyber techniques.
• Analyze security telemetry, threat intelligence, endpoint data, network activity, cloud signals, identify data, and application indicators to identify opportunities to strengthen cyber defenses.
• Develop or enhance detection logic, monitoring approaches, alerting rules, threat hunting queries, response playbooks, and protective controls
• Use AI, automation, and data analysis to identify, prioritize, and support remediation of high-risk exposures, misconfigurations, vulnerabilities, and control gaps.
• Correlate security findings with asset criticality, business impact, exploitability, threat intelligence, exposure, compensating controls, and regulatory relevance.
• Analyze data from scanners, SIEM, EDR, cloud platforms, CMDBs, APIs, ticketing systems, threat intelligence sources, and raw data files to support risk-based decision-making.
• Recommend appropriate remediation, mitigation, monitoring, isolation, or risk treatment options based on technical feasibility and business context.
• Build scripts, integrations, dashboards, automation workflows, and analytical models that improve cyber defense operations, reduce manual effort, and improve risk-based decision making.
• Evaluate and tune security tools to improve effectiveness, reduce noise, and generate actionable outputs for technical teams.
• Partner with cross-functional stakeholders (Enterprise Architecture, Cloud Platform, DevSecOps, and business/operational teams) to scale cyber defense capabilities without creating unnecessary operational burden.
Qualifications:
Required:
• 5+ years of experience in cybersecurity, security engineering, application security, infrastructure security, or related fields.
• 1+ years of hands-on experience with enterprise AI platforms or frameworks such as AWS Bedrock, OpenAI APIs or similar.
• Strong knowledge with cloud environments (AWS, Azure)
• Strong understanding of vulnerability management, exploitability analysis, threat intelligence, attack paths, security controls, and risk-based remediation
• Hands-on experience with endpoint security, SIEM tools, SOAR, EDR, cloud/application/infrastructure security tools
• Working knowledge of AI, machine learning, LLMs, agentic AI concepts, or AI-assisted security tools, with the ability to evaluate their practical use in cyber defense.
• Experience using scripting, automation, and data analysis to solve security problems
Preferred:
• Experience in financial services, banking, or another regulated industry
• Experience with security tools such as Tenable, Microsoft Defender, Splunk, Sentinel, Zscaler, ServiceNow, Veracode or similar
• Knowledge of how AI frontier models work for cyber security defense
• Experience with cloud platforms, container environments, CI/CD pipelines, identity platforms, network segmentation, zero trust, endpoint hardening, or cryptography
Company:
Popular is a banking firm that provides banking and financial services. Founded in 1893, the company is headquartered in San Juan, PRI, with a team of 5001-10000 employees. The company is currently Late Stage.
Popular is Puerto Rico’s leading financial institution, and they are seeking an AI Cyber Defense Engineer – Emerging Risks. This role is responsible for designing, building, and improving AI-driven cyber defense capabilities with a focus on threat detection, prevention, response, and remediation.
Responsibilities:
• Support the design, testing, and implementation of AI-enabled cyber defense capabilities across prevention, detection, protection, response, and remediation.
• Evaluate emerging AI, machine learning, automation, and analytics tools for practical cybersecurity use cases.
• Assess how threat actors may use AI to accelerate reconnaissance, social engineering, vulnerability discovery, exploitation, malware generation, credential attacks, and evasion techniques.
• Develop defensive AI use cases that improve threat detection, anomaly analysis, attack path mapping, control validation, incident triage, and remediation decisioning.
• Contribute to the organization’s broader strategy for emerging cyber risks, including AI-enabled threats, autonomous agents, quantum-related risks, supply chain compromise, and advanced offensive cyber techniques.
• Analyze security telemetry, threat intelligence, endpoint data, network activity, cloud signals, identify data, and application indicators to identify opportunities to strengthen cyber defenses.
• Develop or enhance detection logic, monitoring approaches, alerting rules, threat hunting queries, response playbooks, and protective controls
• Use AI, automation, and data analysis to identify, prioritize, and support remediation of high-risk exposures, misconfigurations, vulnerabilities, and control gaps.
• Correlate security findings with asset criticality, business impact, exploitability, threat intelligence, exposure, compensating controls, and regulatory relevance.
• Analyze data from scanners, SIEM, EDR, cloud platforms, CMDBs, APIs, ticketing systems, threat intelligence sources, and raw data files to support risk-based decision-making.
• Recommend appropriate remediation, mitigation, monitoring, isolation, or risk treatment options based on technical feasibility and business context.
• Build scripts, integrations, dashboards, automation workflows, and analytical models that improve cyber defense operations, reduce manual effort, and improve risk-based decision making.
• Evaluate and tune security tools to improve effectiveness, reduce noise, and generate actionable outputs for technical teams.
• Partner with cross-functional stakeholders (Enterprise Architecture, Cloud Platform, DevSecOps, and business/operational teams) to scale cyber defense capabilities without creating unnecessary operational burden.
Qualifications:
Required:
• 5+ years of experience in cybersecurity, security engineering, application security, infrastructure security, or related fields.
• 1+ years of hands-on experience with enterprise AI platforms or frameworks such as AWS Bedrock, OpenAI APIs or similar.
• Strong knowledge with cloud environments (AWS, Azure)
• Strong understanding of vulnerability management, exploitability analysis, threat intelligence, attack paths, security controls, and risk-based remediation
• Hands-on experience with endpoint security, SIEM tools, SOAR, EDR, cloud/application/infrastructure security tools
• Working knowledge of AI, machine learning, LLMs, agentic AI concepts, or AI-assisted security tools, with the ability to evaluate their practical use in cyber defense.
• Experience using scripting, automation, and data analysis to solve security problems
Preferred:
• Experience in financial services, banking, or another regulated industry
• Experience with security tools such as Tenable, Microsoft Defender, Splunk, Sentinel, Zscaler, ServiceNow, Veracode or similar
• Knowledge of how AI frontier models work for cyber security defense
• Experience with cloud platforms, container environments, CI/CD pipelines, identity platforms, network segmentation, zero trust, endpoint hardening, or cryptography
Company:
Popular is a banking firm that provides banking and financial services. Founded in 1893, the company is headquartered in San Juan, PRI, with a team of 5001-10000 employees. The company is currently Late Stage.
About Popular
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