[Remote] Sr Security Engineer - AI

Note: The job is a remote job and is open to candidates in USA. Quickbase is on a mission to eliminate Gray Work through its Dynamic Work Management platform, empowering organizations to improve productivity and reduce costs. The Senior AI Security Engineer will be a key contributor to the AI security program, responsible for securing enterprise AI technologies and supporting AI governance initiatives. This role requires collaboration with various teams to implement security controls and evaluate emerging AI technologies.ResponsibilitiesServe as the Security team's primary point of contact for enterprise AI technologies and internal AI adoption initiativesEvaluate and secure the use of AI solutions across corporate functions including Engineering, Product, IT, Finance, HR, Customer Success, Sales, Marketing, and LegalAssess security, privacy, compliance, and data protection risks associated with AI tools, AI assistants, copilots, AI agents, and AI-enabled business workflowsReview AI integrations involving enterprise platforms such as GitHub, Salesforce, Slack, Jira, Confluence, SharePoint, Workday, ServiceNow, and other business-critical systemsDefine and implement security controls for AI-enabled workflows, enterprise AI deployments, and agent-based automationEstablish guardrails for the handling of sensitive, confidential, customer, employee, and regulated data within AI environmentsPartner with IT and Security teams to improve visibility into AI usage, AI-related risks, and AI adoption across the organizationMonitor emerging AI threats, vulnerabilities, and industry developments and recommend appropriate security controls and mitigationsPartner with Engineering teams to support secure adoption of AI-assisted software development tools and workflowsDefine security guardrails for AI code generation, code review, testing, and developer productivity toolsReview AI-related engineering use cases and provide practical security recommendationsDevelop standards and best practices for secure AI developmentSupport secure integration of AI capabilities into products and engineering workflowsEvaluate risks associated with AI-generated code, AI agents, model integrations, and developer AI toolingCollaborate with Product Security and Engineering teams to embed secure AI practices throughout the software development lifecyclePartner with Security, Legal, Privacy, Compliance, and Engineering teams to implement AI governance requirements through technical controls and operational processesParticipate in AI review boards, architecture reviews, and AI technology assessmentsConduct AI risk assessments and document security, privacy, compliance, and operational risksSupport implementation of AI security standards, operational controls, and AI usage guardrailsHelp establish visibility into AI adoption, usage patterns, and AI-related risks across the organizationContribute to AI metrics, reporting, and governance maturity initiativesAssist with evaluating emerging AI regulations, industry guidance, and evolving best practicesIdentify opportunities to leverage AI to improve security operations, engineering processes, and operational efficiencyEvaluate emerging AI security technologies and toolingDevelop automation solutions that improve visibility, governance, and security outcomesSupport initiatives involving AI agents, workflow automation, and security orchestrationPartner with Security Operations, IT, and Engineering teams on AI-driven automation opportunitiesSkills4–7 years of experience in Security Engineering, Application Security, Product Security, Cloud Security, DevSecOps, Information Security, or related cybersecurity disciplinesExperience conducting security assessments, architecture reviews, technology evaluations, or risk assessmentsWorking knowledge of generative AI technologies, large language models (LLMs), AI agents, copilots, and AI-powered development toolsUnderstanding of AI security risks including data leakage, prompt injection, excessive permissions, insecure outputs, model misuse, agent abuse, and emerging AI threatsExperience with cloud platforms such as AWS, Azure, and/or GCPFamiliarity with modern software development practices, APIs, CI/CD pipelines, and application security principlesStrong analytical, problem-solving, communication, and stakeholder management skillsAbility to translate security requirements into practical and scalable solutionsExperience supporting enterprise AI adoption, AI governance, AI risk management, or AI security initiativesExperience with enterprise AI platforms such as ChatGPT Enterprise, Claude Enterprise, GitHub Copilot, Microsoft Copilot, Gemini, or similar technologiesFamiliarity with AI governance frameworks and industry guidance such as NIST AI RMF, ISO 42001, OWASP Top 10 for LLM Applications, MITRE ATLAS, or responsible AI principlesExperience evaluating AI vendors, AI-enabled SaaS platforms, or emerging technology solutionsExperience working in SaaS, cloud-native, or high-growth technology organizationsBenefitsBonus/commission eligibilityAccess to a full benefits package including health insurance401kPaid time offCompany OverviewQuickbase helps organizations see, connect and control every element of the complex projects. It was founded in 1999, and is headquartered in Boston, Massachusetts, USA, with a workforce of 501-1000 employees. Its website is http://quickbase.com.Company H1B SponsorshipQuickbase has a track record of offering H1B sponsorships, with 3 in 2026, 8 in 2025, 5 in 2024, 5 in 2023, 8 in 2022, 5 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.