[Remote] Senior AI Security Engineer

Note: The job is a remote job and is open to candidates in USA. Vertex Inc. is a company focused on securing AI systems and pipelines that power their products. They are seeking a Senior AI Security Engineer to partner with various teams to identify and mitigate risks associated with AI technologies, ensuring the safe and responsible deployment of AI features.ResponsibilitiesPerform threat modeling and security reviews of AI features, including LLM-enabled applications, RAG systems, inference pipelines, and agentic workflowsAnalyze AI systems to identify, characterize, and prioritize security vulnerabilitiesEnsure AI actions are fully traceable using industry-standard identity, security, and logging frameworksPerform hands-on testing and develop automated red teaming for AI and agentic features, especially focused on AI specific risks like prompt injectionDocument reproducible failure modes and partner with engineering teams to implement and verify durable mitigationsBuild or extend AI security automation and evaluation harnessesDefine how AI agents coordinate, delegate, and escalate within security workflowsWork with engineering to define secure-by-default patterns and guidance for AI system design, development, prompts, retrieval, tool use, output handling, deployment, logging, and least-privilege agentsMonitor emerging AI threats, frameworks, and platform changes, and convert relevant risks into prioritized controls and mitigationsDrive effective and secure use of AI development toolingGuide developers on security and privacy best practices for agentic coding, using MCP-enabled tools and hooks to help prevent vulnerabilitiesPreemptively identify and resolve technical risks and cross-team dependencies to keep AI security work on trackCollaborate proactively with defensive security teams to enhance detection, response, and mitigation capabilitiesAct as the AI security incident SME, providing rapid triage guidance and root-cause analysisSkills5+ years of experience in security engineering, application security, product security, AI/ML engineering, or security architecture, with direct hands-on experience securing AI/ML or LLM-based systemsDemonstrated ability to independently lead security reviews for complex software or AI systems and drive mitigation plans across engineering teams with limited oversightPractical experience assessing AI-specific risks such as prompt injection, insecure output handling, sensitive data exposure, excessive agency, model or data supply chain weaknesses, agent/tool abuse, and unsafe retrieval or memory patternsAdvanced understanding of AI system behavior, including the ability to reason about model behavior, AI system vulnerabilities, evaluation results, and security-relevant failure modesProficiency in Python (or similar) for building security automation, evaluation scripts, test harnesses, prototypes, and evidence-collection workflowsWorking knowledge of modern AI technology stacks, model APIs, orchestration frameworks, vector databases, retrieval pipelines, agentic workflows, and at least one major cloud platform (AWS, GCP, or Azure)Familiarity with AI security and governance frameworks such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and ISO/IEC 42001Excellent written and verbal communication skills, with the ability to explain complex AI security risks to both technical and non-technical audiencesAdvanced degree in Computer Science, Engineering, or a related field; equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degreeExperience leading AI red team engagements, AI test-and-evaluation activities, secure AI design reviews, or product security programs across multiple teamsExperience deploying, integrating, or securing AI/ML systems used by customers or production engineering teams outside of a lab environmentHands-on experience with AI security tooling, model scanning, or custom evaluation harnessesBackground in cloud security, IAM, application security, data protection, logging/monitoring, incident response, or security operations for production systemsExperience coordinating practical technical work across product, platform, and security stakeholdersExternal contributions, presentations, or publications in AI security, adversarial AI, AI assurance, or secure AI engineeringDrives production outcomes through agentic, systems-level design, AI-augmented development, autonomy, mentorship, and clear communicationBenefitsThis role may be eligible for the Vertex Bonus Plan (VOB), a role-specific sales commission/bonus, and/or equity grantsLearn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programsCompany OverviewThe rapid changes taking place in today’s global business, technology, and regulatory environments are having a compounding effect on the complexity of indirect tax management and putting more pressure on the corporate tax function than ever before. It was founded in 1978, and is headquartered in Hudiksvall, Gavleborgs Lan, SWE, with a workforce of 1001-5000 employees. Its website is http://www.vedax.se/.Company H1B SponsorshipVertex Inc. has a track record of offering H1B sponsorships, with 1 in 2026, 26 in 2025, 18 in 2024, 7 in 2023, 13 in 2022, 5 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.