Principal AI Security Engineer
$150,000 - $190,000 per year
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Posted 2 days ago
SENIORITY
Lead
SALARY
$150,000 - $190,000 per year
About the role
- Phoenix, AZJohnston, RIBoston, MAFranklin, TNWestwood, MAPittsburgh, PACharlotte, NCIrving, TXCleveland, OHPhiladelphia, PAMarlton, NJThe Principle Security Engineer will be responsible for:
- Collaborating and contributing insight to solution design ideation, ensuring both the success of the product and adherence to enterprise architecture principles.
- Designing, modifying, developing and implementing software solutions. Building modern, architecturally sound components, tools and applications to meet mission-driven strategic business goals.
- Infusing quality of service characteristics, such as scalability, manageability and maintainability, into distributed service-based system designs
- Employing industry best practices to evaluate, correct and prevent vulnerabilities during the software development process.
- Serving as a peer-leader, encouraging a culture of innovation and accountability
- Build and operationalize security controls that protect AI-powered applications, ensuring models, prompts, and outputs are resilient against misuse and abuse.
- Focus on securing the full AI lifecycle—from data ingestion and model training to deployment and runtime—across both internal applications and external platforms.
- Engineer safeguards against emerging AI threats such as prompt injection, data poisoning, model inversion, and unintended data leakage.
- Strengthen identity and access controls for AI systems, including service identities, API protection, and least-privilege access across SaaS and cloud environments.
- Secure integrations between AI components and enterprise systems (databases, APIs, SaaS tools) to prevent unauthorized access and data exfiltration.
- Protect sensitive data used by AI systems through encryption, tokenization, and privacy-preserving techniques across hybrid and cloud-native architectures.
- Continuously monitor AI systems and agentic behaviors for anomalies, policy violations, and malicious activity using logging and detection engineering practices.
- Harden cloud infrastructure that supports AI workloads, including containers, orchestration platforms, and serverless services, ensuring secure configurations.
- Evaluate and manage risks associated with third-party AI SaaS solutions, focusing on data handling, access control, and vendor security posture.
- Integrate automated security testing into AI development pipelines, including adversarial testing and validation of model robustness.
- Lead incident response efforts related to AI systems, investigating misuse, model drift with security implications, and potential data exposure events.
- Collaborate cross-functionally with architects, developers, and governance teams to align AI security practices with business objectives and regulatory requirements.
- 8+ years of working experience in data intensive applications or data engineering
- Experience implementing large-scale technological enhancements and/or pivots, including pilot implementation and analysis
- Excellent understanding of AI/ML patterns and techniques
- Excellent understanding of DevOpsUnderstanding of python and at least one other programming language
- Experience working with IT infrastructure and cloud development
- Experience with API'sExperience designing highly available and resilient solutions, automation, identify opportunity of performance improvements
- A bachelor's degree or foreign equivalent in computer science or a related field
- Experience in 2 or 3 of the following technology areas. Infrastructure, Security, DevOps, Application Development, database technologies, cloud computing
- Working experience in the financial services industry
- Bachelor's degree in computer science, computer engineering or a related discipline
- Executive speaking and presentation skills: formal presentations, white-boarding, large and small group presentations
Before you apply
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A number in mind
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Your notice period
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