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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Security Engineer -DLP AI Security Automation - **Company:** CITIZENS INC - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $175,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing Security, Cloud Database, Software Code Optimization, Cyber Security, Computer Networks, Data Security, Electronic Design Automation, Infrastructure as a Service (IaaS), Python (Programming Language), PCI Data Security Standards, Performance Tuning, Windows PowerShell, Kusto Query Language, Security Information and Event Management, Systems Integration, Scripting, Cloud Platform System, Information Technology - **Published:** October 23, 2026 - **Apply:** https://www.bostonjobsite.com/job.asp?id=3466555391&tx=KP3535FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree or equivalent experience in Computer Science, Cybersecurity, or related field * 8+ years experience in information security, including 4+ years in DLP, CASB, or cloud data protection engineering * Deep hands on expertise with DLP platforms including policy design, deployment, and operations * Experience integrating DLP and CASB with SIEM, SOAR, identity, and cloud platforms * Proven experience building automation or AI driven workflows for security operations * Strong knowledge of regulatory frameworks such as GLBA, PCI DSS, SOX, FFIEC, GDPR, CCPA * Strong analytical and troubleshooting skills across hybrid environments * Excellent communication skills translating technical concepts for varied audiences, * Experience with agent based DLP automation and autonomous remediation capabilities * Familiarity with AI driven security tooling including AI risk and readiness platforms * Experience with additional data protection technologies * Scripting or automation experience such as Python, PowerShell, or KQL * Certifications such as CISSP, CCSP, CISM * Experience in financial services or other regulated industries * Experience with SIEM analytics, dashboards, and DLP telemetry correlation * Cloud security experience across AWS, Azure, or GCP Core Skills * DLP and data protection engineering, advanced, designs and operates enterprise DLP across cloud, endpoint, and network * AI and automation in security, advanced, applies AI driven workflows to enhance detection and response * Cloud security and CASB, advanced, secures SaaS and cloud environments * Compliance and regulatory controls, advanced, aligns DLP strategy with regulatory requirements * Cybersecurity strategy, advanced, connects data protection initiatives to business priorities * Emerging technologies, advanced, evaluates and implements new AI and security capabilities * Systems integration and management, advanced, integrates security platforms across the enterprise * Incident and problem management, advanced, leads investigation and resolution of data security events * Stakeholder engagement and communication, advanced, communicates risk and strategy to leadership * Innovation and continuous improvement, advanced, drives automation and program optimization ## Description Lead the design, deployment, and expansion of enterprise Data Loss Prevention capabilities with a focus on AI driven automation. Own DLP platform integration and strategy across cloud, endpoint, SaaS, and emerging AI environments, driving scalable, automated data protection that reduces risk and enables secure innovation., AI Automation and Intelligent Operations * Deploy and operationalize AI driven DLP automation, including agent based triage, contextual risk assessment, and automated remediation * Leverage AI powered classification, adaptive protection, and insider risk capabilities to build proactive data protection workflows * Design automation pipelines to reduce manual triage, lower false positives, and accelerate incident resolution * Evaluate and integrate emerging AI and ML capabilities to improve DLP effectiveness and operational efficiency DLP Architecture and Deployment * Lead end to end design, deployment, and optimization of DLP controls across CASB, Information Protection, and DSPM platforms * Architect unified DLP policies across endpoints, SaaS, IaaS, email, and network traffic within SSE environments * Define security requirements, architecture patterns, and integration blueprints for enterprise DLP solutions across cloud and hybrid environments Policy Development, Tuning, and Compliance * Develop and enforce DLP policies aligned to regulatory requirements such as GLBA, PCI DSS, SOX, GDPR * Continuously tune rules, classifiers, sensitive information types, and exception workflows to improve detection accuracy * Apply risk frameworks to identify and mitigate data protection gaps * Maintain documentation, runbooks, and audit evidence for compliance reviews Leadership and Collaboration * Serve as the technical lead for DLP AI automation initiatives * Partner across cybersecurity, risk, IT, and business teams to align data protection strategy * Mentor engineers and promote operational excellence and continuous learning * Oversee design, integration, testing, and delivery of data protection solutions * Present program insights and recommendations to senior leadership