This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Security Engineer in United States.
The Principal Security Engineer will serve as a technical authority across enterprise security, application security, and AI risk management, providing senior-level guidance and independent judgment on complex security decisions. This role focuses on enabling safe and responsible AI adoption while protecting applications, platforms, and cloud environments. You will collaborate with cross-functional teams—including Security, IT, Product, Legal, Privacy, and Compliance—to implement secure practices, enforce guardrails, and act as an escalation point for high-impact risks. The position combines strategic oversight, hands-on architecture, and mentoring responsibilities, delivering measurable security improvements across the organization. Your expertise will drive innovation in AI-powered security, threat detection, and cloud hardening, shaping a safe and resilient digital environment.
Accountabilities:
- Design and implement AI-powered security frameworks to enhance detection, prevention, and response capabilities across applications, cloud environments, and infrastructure
- Integrate machine learning and behavioral analytics into threat detection pipelines to identify anomalies, insider threats, and emerging attack patterns
- Develop predictive risk scoring engines using telemetry, identity signals, and threat intelligence to prioritize and automate remediation
- Architect autonomous security workflows leveraging SOAR, LLM agents, and API integrations for enterprise and AI-specific use cases
- Provide principal-level application and AI security guidance to non-engineering teams, including IT, HR, Legal, Finance, and other business functions
- Conduct independent risk analyses, threat modeling, and secure design reviews for applications, platforms, and AI-enabled workflows
- Partner with Product Security to adopt and reinforce secure SDLC practices, tools, and processes
- Define cloud security reference architectures across AWS, Azure, and GCP, emphasizing zero-trust and identity-driven controls
- Mentor teams on application security best practices and AI safety principles, while contributing to enterprise-wide AI governance initiatives
Requirements:
- Bachelor’s degree in Cybersecurity, Computer Science, AI/ML, or related technical field
- 10+ years of experience in security engineering, security architecture, or software engineering, with 5+ years in Application Security
- Hands-on experience with AppSec tools (Checkmarx, Veracode, Snyk, SonarQube) and secure CI/CD integration
- Experience building or integrating AI/ML pipelines for threat detection, anomaly detection, or predictive risk modeling
- Proficiency in secure coding, microservices architecture, and defending APIs, web apps, and serverless environments
- Scripting proficiency in Python or similar languages for automation and data processing
- Familiarity with LLMs and generative AI platforms and their security implications
- Deep understanding of cloud-native technologies (Kubernetes, containers, serverless) and corresponding security controls
- Strong ability to translate complex security and AI concepts to both technical and non-technical stakeholders
Preferred Qualifications:
- Master’s degree in relevant technical field
- CISSP, CSSLP, CCSP, GCSA, GWAPT, or GMLE certifications (or equivalent)
- Experience applying AI/ML in cybersecurity, including autonomous workflows and SOAR integration
- Proven track record in influencing enterprise-level security decisions and governance
Benefits:
- Competitive compensation and bonus eligibility
- Paid time off and parental leave
- Health, life, and disability insurance (location-specific)
- Inclusive culture with multiple employee-run resource groups
- Professional development opportunities and mentorship
- Flexible, remote-friendly work environment
- Commitment to diversity, equity, and inclusion initiatives
