About the company
This position is listed on behalf of a partner company, who manages all applications and next steps.
Responsibilities
- Conduct security risk assessments across AI governance domains, including generative AI security, agentic AI security, shadow AI detection, and AI gateway or Model Context Protocol governance.
- Evaluate AI use cases, identify potential exposures, apply risk scoring methodologies, and maintain accurate AI governance risk documentation.
- Identify security weaknesses in AI deployments, including prompt injection, data leakage, model misuse, and unsafe output handling, while recommending effective mitigation strategies.
- Assess agentic AI systems for risks related to autonomy, tool access, privilege escalation, and unintended actions, and define appropriate monitoring controls.
- Analyze shadow AI usage and unauthorized AI implementations, evaluate associated risks, and recommend detection and governance approaches.
- Evaluate AI security solutions such as AI gateways, CASB/SWG platforms, Model Context Protocol governance tools, and agent monitoring technologies.
- Contribute to security frameworks, architectural standards, policies, and technical requirements that support responsible AI adoption.
- Apply cybersecurity expertise across cloud, network, endpoint, and data security domains to support architecture reviews, risk assessments, and security initiatives.
- Partner with AI/ML teams, engineering groups, and enterprise stakeholders to identify security improvements and drive implementation.
- Support incident response, detection engineering, and security improvement efforts related to emerging AI technologies.
Requirements
- 5+ years of experience in security engineering, cybersecurity, or a closely related discipline.
- Strong understanding of cybersecurity frameworks, compliance requirements, and evolving threat landscapes.
- Hands-on experience with security risk assessment and risk management methodologies, including impact-based prioritization.
- Working knowledge of modern AI and machine learning systems, including large language models, generative AI, and agentic AI architectures.
- Experience with core security domains such as cloud, network, endpoint, or data security, with the ability to contribute to architecture reviews and risk assessments.
- Experience securing AI applications, LLM-based systems, or enterprise generative AI deployments is highly preferred.
- Familiarity with AI security tools and technologies, including AI gateways, Model Context Protocol (MCP), CASB/SWG, DLP solutions, or agent monitoring platforms is a plus.
- Experience identifying and governing shadow IT or shadow AI usage is preferred.
- Knowledge of threat modeling techniques applied to AI systems or emerging technologies.
- Experience contributing to incident response, detection engineering, or purple team activities is beneficial.
- Strong analytical, communication, and collaboration skills with the ability to work effectively across technical and business teams.
Conditions
- Competitive annual salary range of $98,900 - $228,700, depending on qualifications, experience, and location.
- Total compensation package that may include base salary, bonus opportunities, and equity awards.
- Fully remote work flexibility within the United States.
- Comprehensive benefits package supporting physical, mental, emotional, and financial well-being.
- Programs designed to support work-life balance and employee growth.
- Opportunities to work on cutting-edge AI security initiatives and emerging technologies.
- Collaborative, innovation-driven workplace culture with opportunities for professional development.
- Supportive environment focused on career advancement, meaningful impact, and continuous learning.