Security Operations Engineer - AI-Driven Cloud & Threat Defense

Bessemer Trust

Port Reading (NJ)

On-site

USD 145,000 - 175,000

Full time

14 days+

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Benefits offered by this job

Hybrid work environment

401(k) with profit-sharing

Medical/dental/vision plans

Paid time off

Job summary

Bessemer Trust is seeking an experienced Security Operations Engineer to advance enterprise security capabilities across on-premises, cloud, and AI-enabled environments. You will design, implement, and continuously improve security controls, partnering with Infrastructure, Cloud Engineering, Risk Management, and Audit teams to strengthen the firm’s security posture.

The role requires deep hands-on security engineering expertise, a strategic mindset, and the ability to communicate complex

Qualifications

Bachelor’s degree in computer science, engineering, information security or related discipline preferred; equivalent experience will be considered.
Industry certifications preferred but not required.

Responsibilities

Design, implement, and maintain enterprise security controls and platforms across cloud, endpoint, server, database, network, and AI-enabled environments.
Research, evaluate, validate, and deploy security technologies that align with business objectives, regulatory requirements, and evolving threat landscapes.
Continuously assess security architecture and operational effectiveness to identify gaps, recommend improvements, and enhance defensive capabilities.
Support proactive threat detection, incident response, forensic investigations, containment, remediation, and recovery activities.
Leverage automation and AI-assisted security operations capabilities to improve operational efficiency, threat detection accuracy, and response times.
Develop and implement security controls for AI systems, including data protection, model access governance, prompt injection mitigation, API security, and monitoring of AI-generated outputs.
Monitor emerging threats related to AI-assisted attacks, deepfakes, adversarial AI, automated phishing, and model exploitation techniques.
Identify opportunities to operationalize AI and machine learning capabilities within security operations, including threat intelligence, anomaly detection, and workflow automation.
Work closely with Internal Audit, Risk Management, Legal, and Compliance teams to remediate findings and strengthen control effectiveness.
Maintain awareness of emerging threats, vulnerabilities, attack techniques, AI-related risks, and industry best practices to proactively improve organizational defenses.
Contribute to security standards, procedures, operational playbooks, and technical documentation.
Mentor junior colleagues and contribute to the development of security engineering best practices across the organization.