7 дней назад
Principal Security Architect (AI/ML Security)
153 470 - 255 749$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Security Architect (AI/ML Security): Designing and governing API, cloud, on-premises, data, and AI/ML security architectures with an accent on access control, threat detection, zero-trust principles, and regulatory compliance. Focus on securing APIs and machine-learning models, developing reusable security patterns, and leading threat modeling, risk management, and incident response across complex enterprise environments.
Location: Fort Mill/Charlotte, United States; hybrid
Salary: $153,470–$255,749 per year
Company
is a U.S. wealth management firm providing financial advisors and institutions with investment solutions, fintech tools, and practice management services.
What you will do
- Design and lead security architectures across APIs, cloud, on-premises, data, and AI/ML environments.
- Secure APIs using access controls, OAuth, JWT, API gateways, and microservices security patterns.
- Develop reusable security designs, standards, policies, and controls aligned with industry and regulatory requirements.
- Collaborate with development, operations, business, and enterprise architecture stakeholders to align security with business objectives.
- Conduct threat modeling, risk assessment, vulnerability management, threat analysis, and incident response.
- Protect machine-learning models and AI training data against adversarial attacks while applying ethical AI principles.
Requirements
- 3+ years of experience in security architecture and API security, including secure API gateways and microservices architectures.
- 8+ years of experience with information security controls, guidelines, and standards such as ISO 27000, OWASP, CSA CCM, CIS Controls, SOX, and NIST.
- Expertise in cybersecurity frameworks, network security, cloud security, identity management, encryption, zero-trust architectures, and secure DevOps.
- Experience with SIEM implementation, log analysis, incident response, risk management, and vulnerability management in complex enterprise environments.
- Strong consulting, negotiation, communication, consensus-building, and presentation skills.
- Bachelor's degree or equivalent experience; technical coding knowledge in Java, C#/.NET, Ruby, or Python is preferred.
Nice to have
- In-depth AWS knowledge, including EC2, S3, IAM, VPC, Security Hub, WAF, and GuardDuty.
- Experience with Terraform, CloudFormation, Pulumi, or Ansible.
- AI/ML security experience in financial services, including ML models, AI pipelines, deep learning frameworks, AI ethics, and security controls.
- CCSP, CISSP, GIAC, or another cloud-specific certification.
Culture & Benefits
- Collaborative, fast-paced environment focused on client experience and continuous improvement.
- 401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.
- Opportunities to work with development, operations, business, and enterprise architecture teams.
Hiring process
- Applications are submitted through the LPL careers platform.
- Candidate communication is conducted directly from an @lplfinancial.com email address.
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