We’re 4,000 employee entrepreneurs on a mission to build brave futures℠ through the power of connection.
AI Cybersecurity Engineer
Location
Pennsylvania
Posted
8 days ago
Salary
$160K - $200K / year
Seniority
Lead
Job Description
AI Cybersecurity Engineer
SEI
• Design and architect enterprise-grade, secure AI security platforms that protect ML models, training pipelines, inference systems, and AI-driven applications from sophisticated adversarial attacks • Define and drive the technical vision and security roadmap for all AI/ML initiatives across the organization, embedding security into the complete AI lifecycle from development through deployment and monitoring • Lead architectural reviews and provide authoritative technical guidance on security architecture patterns, threat models, and risk mitigation strategies for AI systems • Establish security standards and frameworks for AI development, incorporating OWASP LLM Top 10, MITRE ATLAS, NIST AI Risk Management Framework, and other industry best practices • Develop security controls for AI model training, validation, deployment, and monitoring including input/output filtering, model integrity validation, and behavioral anomaly detection • Implement data security and privacy controls across AI workflows including sensitive data detection, data loss prevention for AI prompts and responses, and confidential computing techniques • Build automated security testing frameworks for continuous validation of AI model security posture and detection of adversarial attack patterns • Engineer AI-powered security detection systems leveraging machine learning for threat hunting, anomaly detection, and behavioral analytics • Communicate complex technical concepts to non-technical executives and business leaders, translating security risks into business impact and strategic recommendations • Serve as the technical authority and trusted advisor on AI security matters for senior leadership including CISO and CTO • Develop and enforce AI security governance policies, standards, and guidelines that ensure ethical, safe, and compliant use of AI across the enterprise • Establish AI model governance frameworks addressing model validation, bias detection, explainability requirements, and audit trails • Implement continuous monitoring and observability for AI systems to detect model drift, performance degradation, and security anomalies in real-time
Job Requirements
- Bachelor's degree in Computer Science, Cybersecurity, Information Security, Software Engineering, or related technical field preferred
- Advanced coursework or specialization in artificial intelligence, machine learning, cryptography, or secure systems design
- A minimum or 10 years of progressive experience in cybersecurity engineering, with at least 2+ years focused on AI/ML security, application security, or security architecture
- Deep expertise in AI/ML security principles including adversarial machine learning, model security, data poisoning detection, and prompt injection defense
- Expert-level knowledge of AI/ML frameworks and platforms (TensorFlow, PyTorch, scikit-learn, Hugging Face) and their security implications
- Extensive experience with cloud security architectures on AWS, Azure, OCI, or GCP, specifically securing AI/ML workloads in cloud environments
- Strong proficiency in programming languages including Python (primary), Java, C#, Go, or similar with emphasis on secure coding practices
- Proven experience designing and implementing security for LLMs and generative AI systems including RAG architectures, vector databases, and agent frameworks
- Demonstrated ability to securely integrate AI/ML solutions with existing legacy applications (e.g., ERP, CRM, mainframe, or on-prem systems) using modern integration patterns (APIs, gateways, middleware, or RPA), while enforcing enterprise security controls such as RBAC, encryption, logging, and compliance with data governance standards
- Hands-on expertise with MLOps/MLSecOps toolchains, CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code
- Deep understanding of security frameworks and standards: OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO 27001, SOC 2
- Strong knowledge of cryptography, authentication/authorization protocols, zero-trust architectures, and identity security principles
- Demonstrated experience as a technical lead or architect
- Proven track record architecting complex, distributed security systems at enterprise scale with high availability and performance requirements
- Extensive experience with threat modeling methodologies and risk assessment frameworks specifically adapted for AI systems.
Benefits
- healthcare (medical, dental, vision, prescription, wellness, EAP, FSA)
- life and disability insurance (premiums paid for base coverage)
- 401(k) match
- education assistance
- commuter benefits
- up to 11 paid holidays/year
- 21 days PTO/year pro-rated for new hires which increases over time
- paid parental leave
- back-up childcare arrangements
- paid volunteer days
- a discounted stock purchase plan
- investment options
- access to thriving employee networks
Related Guides
Related Categories
Related Job Pages
More Security Engineer Jobs
• Conduct investigations of suspected cases of fraud or illegal activities against the company • Interview witnesses and gather necessary evidence • Evaluate information and determine credibility • Coordinate investigation assignments to outside agencies • Provide training and support to claims handling process
• Conduct investigations of suspected cases of fraud or other illegal activities against the Company, including interviewing, database inquiries, taking statements, and locating sources of information and witnesses. • Responsibilities include evaluating information to determine its credibility, referring, and coordinating investigation assignments to outside agencies. • Providing training and support to all departments in the claims handling process.
Senior Cybersecurity Engineer
LeidosLeidos is an innovation company rapidly addressing the world’s most vexing challenges in national security and health.
• Conducting technical and administrative tasks including preparing Risk Management Framework (RMF) artifacts • Defining cybersecurity requirements • Conducting cyber scans and generating associated reports for maintaining Authority to Operate (ATO) for multiple systems • Managing the cyber team’s tasking using JIRA • Working closely with the customer to define and prioritize the work across the Leidos and Government cyber teams • Reporting to the program Technical Director and coordinating with program management, engineering staff, and customer stakeholders
Director of Managed Security Services
van den Boom & Associates LLCYou can count on us to save you from all things accounting and finance.
• Own the Security Service Line • Set the roadmap, tooling stack, and staffing model for the security operations • Define SLAs, escalation paths, and quality standards for 24/7 MDR delivery • Own the security incident response process end to end • Directly manage or oversee SOC/SecOps functions • Maintain and optimize the security tool stack • Evaluate and integrate new security tools and partners • Build, document, and manage administrative security programs • Lead compliance efforts for SOC 2 Type II, HITRUST, ISO 27001, etc. • Own compliance automation tooling • Act as the technical security authority in sales conversations • Partner with sales and leadership to scope client security needs • Build and lead the security operations team • Establish metrics and reporting for security posture and program maturity
