Note: The job is a remote job and is open to candidates in USA. Quickbase is a company focused on AI security, and they are seeking a Senior AI Security Engineer to contribute to their AI security program. This role involves securing enterprise AI technologies, enabling the safe use of AI-powered tools, and implementing security controls to support responsible AI adoption.
Responsibilities
- Serve as the Security team's primary point of contact for enterprise AI technologies and internal AI adoption initiatives
- Evaluate and secure the use of AI solutions across corporate functions including Engineering, Product, IT, Finance, HR, Customer Success, Sales, Marketing, and Legal
- Assess security, privacy, compliance, and data protection risks associated with AI tools, AI assistants, copilots, AI agents, and AI-enabled business workflows
- Review AI integrations involving enterprise platforms such as GitHub, Salesforce, Slack, Jira, Confluence, SharePoint, Workday, ServiceNow, and other business-critical systems
- Define and implement security controls for AI-enabled workflows, enterprise AI deployments, and agent-based automation
- Establish guardrails for the handling of sensitive, confidential, customer, employee, and regulated data within AI environments
- Partner with IT and Security teams to improve visibility into AI usage, AI-related risks, and AI adoption across the organization
- Monitor emerging AI threats, vulnerabilities, and industry developments and recommend appropriate security controls and mitigations
- Partner with Engineering teams to support secure adoption of AI-assisted software development tools and workflows
- Define security guardrails for AI code generation, code review, testing, and developer productivity tools
- Review AI-related engineering use cases and provide practical security recommendations
- Develop standards and best practices for secure AI development
- Support secure integration of AI capabilities into products and engineering workflows
- Evaluate risks associated with AI-generated code, AI agents, model integrations, and developer AI tooling
- Collaborate with Product Security and Engineering teams to embed secure AI practices throughout the software development lifecycle
- Partner with Security, Legal, Privacy, Compliance, and Engineering teams to implement AI governance requirements through technical controls and operational processes
- Participate in AI review boards, architecture reviews, and AI technology assessments
- Conduct AI risk assessments and document security, privacy, compliance, and operational risks
- Support implementation of AI security standards, operational controls, and AI usage guardrails
- Help establish visibility into AI adoption, usage patterns, and AI-related risks across the organization
- Contribute to AI metrics, reporting, and governance maturity initiatives
- Assist with evaluating emerging AI regulations, industry guidance, and evolving best practices
- Identify opportunities to leverage AI to improve security operations, engineering processes, and operational efficiency
- Evaluate emerging AI security technologies and tooling
- Develop automation solutions that improve visibility, governance, and security outcomes
- Support initiatives involving AI agents, workflow automation, and security orchestration
- Partner with Security Operations, IT, and Engineering teams on AI-driven automation opportunities
Skills
- 4–7 years of experience in Security Engineering, Application Security, Product Security, Cloud Security, DevSecOps, Information Security, or related cybersecurity disciplines
- Experience conducting security assessments, architecture reviews, technology evaluations, or risk assessments
- Working knowledge of generative AI technologies, large language models (LLMs), AI agents, copilots, and AI-powered development tools
- Understanding of AI security risks including data leakage, prompt injection, excessive permissions, insecure outputs, model misuse, agent abuse, and emerging AI threats
- Experience with cloud platforms such as AWS, Azure, and/or GCP
- Familiarity with modern software development practices, APIs, CI/CD pipelines, and application security principles
- Strong analytical, problem-solving, communication, and stakeholder management skills
- Ability to translate security requirements into practical and scalable solutions
- Experience supporting enterprise AI adoption, AI governance, AI risk management, or AI security initiatives
- Experience with enterprise AI platforms such as ChatGPT Enterprise, Claude Enterprise, GitHub Copilot, Microsoft Copilot, Gemini, or similar technologies
- Familiarity 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 principles
- Experience evaluating AI vendors, AI-enabled SaaS platforms, or emerging technology solutions
- Experience working in SaaS, cloud-native, or high-growth technology organizations
Benefits
- This role is eligible to participate in our annual incentive plan. Incentives are earned based on employee performance against defined metrics and company goals.
- Full-time roles are eligible for our comprehensive benefits program which includes medical, dental and vision coverage.
- You may also contribute to our 401(k) plan that includes a company match.
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