Seic
AI Cybersecurity Engineer
USA - PA - Oaks
Sponsorship not specifiedDetected 26 days ago
PythonJavaGoC#Vector DatabasesAWSGCPAzureDockerKubernetesCI/CDMachine LearningTensorFlowPyTorchscikit-learnLLMsRAGAgentic AIMLOpsCybersecurityDetection EngineeringComplianceStakeholder ManagementCRM
About the role
- SEI is an Equal Opportunity Employer and so much more… After over 50 years in business, SEI remains a leading global provider of investment processing, investment management, and investment operations solutions.
- We recognize that our people are our most valuable asset and that a healthy, happy, and motivated workforce is key to our continued growth.
- AI Acceptable Use in the application and interview process: SEI acknowledges the growing integration of artificial intelligence (AI) tools into individuals' personal and professional lives.
Responsibilities
- 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.
- Lead architectural reviews and provide authoritative technical guidance on security architecture patterns, threat models, and risk mitigation strategies for AI systems.
- 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.
- Develop and enforce AI security governance policies, standards, and guidelines that ensure ethical, safe, and compliant use of AI across the enterprise.
- Implement continuous monitoring and observability for AI systems to detect model drift, performance degradation, and security anomalies in real-time.
- We are a technology and asset management company delivering on our promise of building brave futures (SM)-for our clients, our communities, and ourselves.
- Come build your brave future at SEI.
- Reflecting our experience within financial services and financial technology our offices encompass an open floor plan and numerous art installations designed to encourage innovation and creativity in our workforce.
Requirements
- Strong knowledge of cryptography, authentication/authorization protocols, zero-trust architectures, and identity security principles.
- 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.
- 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.
Nice to have
- Certified AI Security Professional (CASP) or equivalent AI security certification
- CISSP (Certified Information Systems Security Professional), CISM (Certified Information Security Manager), or CCSP (Certified Cloud Security Professional)
- Cloud security certifications: AWS Security Specialty, Azure Security Engineer, or GCP Professional Cloud Security Engineer
- AI/ML certifications from recognized providers (Google, AWS, Microsoft, DeepLearning.AI)
- Experience securing AI agents and autonomous systems including understanding of Model Context Protocol (MCP) security
- Familiarity with AI governance frameworks and responsible AI principles
- What we would like from you:
- Exceptional communication skills with ability to articulate complex security and AI concepts to both technical and executive audiences
Benefits
- We offer our employees paid parental leave, back-up childcare arrangements, paid volunteer days, education assistance and access to thriving employee networks.
- Strategic thinking with ability to balance immediate security needs with long-term architectural vision
- Adaptability and continuous learning orientation given the rapidly evolving AI security landscape
- 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.
- Engineer AI-powered security detection systems leveraging machine learning for threat hunting, anomaly detection, and behavioral analytics.
- Advanced coursework or specialization in artificial intelligence, machine learning, cryptography, or secure systems design.
- Deep expertise in AI/ML security principles including adversarial machine learning, model security, data poisoning detection, and prompt injection defense.
Company info
- At SEI, we're (literally) invested in your success.
Equal opportunity
- SEI is an Equal Opportunity Employer and so much more…
This listing is sourced directly from Seic's careers page and normalized into a canonical job model.