What You Will Work On
- Research AI trends, AI threat landscape, AI vulnerabilities and remediations and AI security control advancement.
- Evaluate and assess AI tools and play a critical role in AI system management and governance.
- Evaluate existing AI security controls and identify opportunities to enhance the security posture and software designs.
- Collaborate with other security engineers to bring adequate security capabilities to Justworks.
- Provide technical and architectural guidance on AI to product managers, product engineers, and corporate IT on digital security.
- Work with the team to execute and deliver on our AI roadmap. This will include but won’t be limited to implementing AI security capabilities in AWS and for corporate.
- Develop AI security architecture and design standards across Justworks applications and infrastructure to promote a standardized set of security requirements, aligning with internal policies.
- Participates in AI R&D projects and major new AI development initiatives to ensure that appropriate security controls are built into systems prior to production cutover.
- Drive process improvement and control implementation projects in coordination with the larger Digital Technology team at Justworks.
- Act as a cross-functional tools and services expert, working with engineering and risk teams to build AI security control requirements.
- Help Cyber Defense Operations triage incidents as needed especially related to AI security within company internal networks as well as in our production environments in AWS.
- Be the champion for AI implementation within Digital Security, assisting various teams to implement AI models to bring effectiveness and efficiency into security controls, security operations and risk management.
Qualifications
- 5+ years experience in information security concepts, common technical security controls, and security architecture design principles, ideally in a SaaS environment.
- At least 2+ years of hands-on experience in securing AI systems, evaluating AI threats and implementing AI security controls.
- Background as a software engineer, security architect, or security engineer with experience implementing security controls in AI environments in AWS.
- Experience in setting up and deploying AI engineering tools like vector databases, AI model hosting and monitoring tools and in driving security best practices with AI coding assistants (like Claude Code, Cursor, etc.).
- Solid experience with Secure-SDLC processes and DevSecOps, including secure design, threat modeling, vulnerability management, etc.
- Experience in monitoring AI systems for security threats and vulnerabilities.
- Knowledge of AI/ML technologies, frameworks and platforms.
- Knowledge of regulations and industry best practices related to AI security and data privacy.
- Familiar with secure coding practices and security scanning technologies.
- Extensive experience in security architecture, system design, and engineering scalable security solutions in a cloud-native (AWS) environment.
- Experience with scripting and automation using languages such as Python, Ruby or Javascript.
- Proven track record as a strong communicator.
- Strong analytical skills.
- Exceptional organizational skills.
Technologies used
- Go, Ruby on Rails, Javascript.
- AI frameworks like Langchain/LangGraph, AI hosting platforms, AI coding assistants (both open source and commercial) and emerging protocol standards like MCP and Agent-to-Agent Protocol.
- Technical experience with DevOps, Jira, and other agile automation tools.
- Ruby on Rails & Javascript.
- (Preferred) Security Certifications: CISSP, CISM, CRISC, GIAC, CCSP or CEH.
Compensation: The base wage range for this position based in our New York City Office is targeted at $167,500.00 to $226,300.00 per year.