Senior Security Engineer, Platforms & AI

Triwill Group; United States; On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Remote-first

Competitive salary

Unlimited PTO

Health, dental, vision insurance

Equity opportunities

Job summary

Jobgether is partnering to fill a Senior Security Engineer, Platforms & AI position based in the United States. The role combines cloud security, DevSecOps, and proactive vulnerability management in a fast-growing environment.

You will own security posture across production systems, secure AI-driven workflows, and implement guardrails to prevent unsafe actions and data leakage, while embedding security into engineering processes and maintaining strong incident response capabilities.

Qualifications

• 7+ years in security engineering or closely related fields.
• Strong AWS cloud security experience and production env protection.
• Experience identifying, prioritizing, and remediating vulnerabilities.
• Ability to translate complex security risks into practical solutions.
• Experience with AI/LLM security is a plus.

Responsibilities

• Secure and harden cloud infrastructure, apps, APIs, and internal systems.
• Implement security controls across CI/CD, encryption, secrets, logging, and access.
• Lead vulnerability management and remediation across environments.
• Design guardrails for AI-generated actions and untrusted inputs.
• Collaborate with engineering to embed security into dev workflows.

Skills

Security engineering

Cloud security

DevSecOps

Vulnerability management

Threat modeling

Adversarial testing

AI security

Tools

AWS

SIEM

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Security Engineer, Platforms & AI based in United States.

This is a hands-on security engineering role focused on protecting cloud infrastructure, applications, APIs, internal systems, and AI-driven workflows.
You will own key elements of the technical security posture, from infrastructure hardening and vulnerability remediation to monitoring and incident response.
The role combines offensive security, DevSecOps, cloud security, and emerging AI security challenges in a rapidly scaling environment.
You will work closely with Engineering to embed practical security controls directly into production and development workflows.
A major focus will be securing AI systems against prompt injection, adversarial inputs, unsafe actions, and data leakage.
You will have significant autonomy to identify weaknesses, design solutions, and drive improvements across the security architecture.
This is an opportunity to provide technical leadership and help build resilient, secure systems within a high-ownership engineering culture.

Accountabilities

• Secure and harden cloud infrastructure, applications, APIs, internal systems, and operational workflows across production environments.
• Implement and maintain security controls covering CI/CD pipelines, cloud infrastructure, internal tooling, encryption, secrets management, logging, monitoring, and access controls.
• Partner directly with engineering teams to identify vulnerabilities, coordinate remediation, validate fixes, and strengthen secure development practices.
• Design and continuously improve security architecture for cloud-native and distributed systems while building scalable security processes into engineering workflows.
• Lead vulnerability management activities, including assessment, prioritization, remediation, and validation across infrastructure, applications, APIs, and operational systems.
• Proactively identify weaknesses through vulnerability scanning, penetration testing, adversarial testing, threat modeling, and manual security reviews.
• Secure AI-driven systems and automated agents against prompt injection, adversarial inputs, unauthorized actions, unsafe outputs, and data leakage.
• Design guardrails and validation layers for AI-generated actions and ensure systems can safely process untrusted inputs from IVRs, web applications, APIs, and human interactions.
• Monitor AI behavior for anomalies, abuse attempts, and unsafe decision‑making while ensuring systems remain observable, auditable, appropriately bounded, and capable of failing safely.
• Improve security monitoring, alerting, logging, detection, and incident response capabilities across the environment.
• Investigate suspicious activity and security incidents, lead or support root‑cause analysis, and implement preventative measures following incidents or security discoveries.
• Help establish a culture of continuous security improvement, operational accountability, and resilient engineering practices.

Requirements

• 7+ years of hands‑on experience in security engineering, infrastructure security, application security, DevSecOps, offensive security, or a closely related discipline.
• Exceptional knowledge of the AWS ecosystem and experience securing cloud‑based production environments.
• Demonstrated experience identifying, prioritizing, and remediating vulnerabilities in live production systems.
• Strong understanding of security architecture, cloud infrastructure, applications, APIs, access controls, secrets management, monitoring, and secure development practices.
• Experience with vulnerability scanning, penetration testing, threat modeling, adversarial testing, or manual security assessments.
• Strong ability to investigate security events, analyze root causes, and implement effective remediation and prevention measures.
• Ability to work directly with engineering teams and translate complex security risks into practical technical solutions.
• Strong communication skills, with the ability to clearly explain technical security issues and recommendations to engineering and other stakeholders.
• Highly autonomous and proactive, with the ability to drive projects, make sound decisions, and prioritize effectively in a fast‑moving environment.
• Experience securing AI/LLM‑powered systems, automated agents, or other AI‑driven applications is preferred.
• Familiarity with prompt injection, adversarial AI techniques, AI guardrails, behavioral anomaly detection, and responsible AI security practices is a plus.
• Experience with cloud security tooling, SIEM and observability platforms, penetration testing tools, endpoint security platforms, or infrastructure‑as‑code security is advantageous.
• Experience in a high‑growth startup, fintech, banking, payments, or similarly regulated technology environment is preferred.
• Security certifications such as CISSP, CISM, AWS Security Specialty, or equivalent are a plus.
• Ability to work remotely from the United States; the original role also permits candidates based in Canada.

Benefits

• 100% remote‑first work culture.
• Competitive salary and equity opportunities.
• Unlimited paid time off.
• Flexible working schedule and paid holidays.
• Comprehensive health, dental, and vision insurance.
• High‑ownership culture emphasizing transparency, autonomy, and technical craftsmanship.
• Opportunities to own security architecture and take on significant technical leadership responsibilities.
• Opportunity to work on emerging AI security challenges and help shape security practices as the organization scales.