Senior AI Security Engineer

Role Description

The Senior AI Security Engineer will serve as a key contributor to Quickbase's AI security program, reporting directly to the CISO. This role is responsible for securing enterprise AI technologies, enabling the safe use of AI-powered development tools, supporting AI governance initiatives, and helping implement security controls that enable responsible AI adoption across the organization. The ideal candidate combines strong cybersecurity fundamentals with practical experience working with generative AI technologies, developer AI tools, cloud-native architectures, and modern software development practices.

Job Duties and Responsibilities

• AI Corporate Security
  • 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, and ServiceNow.
  • 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.
  • Monitor emerging AI threats, vulnerabilities, and industry developments and recommend appropriate security controls and mitigations.
• Developer AI Security
  • 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.
  • Develop standards and best practices for secure AI development.
  • 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.
• AI Governance Enablement
  • 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.
  • Help establish visibility into AI adoption, usage patterns, and AI-related risks across the organization.
  • Assist with evaluating emerging AI regulations, industry guidance, and evolving best practices.
• Security Automation & Innovation
  • Identify opportunities to leverage AI to improve security operations, engineering processes, and operational efficiency.
  • Evaluate emerging AI security technologies and tooling and 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.

Qualifications

• 4–7 years of experience in Security Engineering, Application Security, Product Security, Cloud Security, DevSecOps, Information Security, or a related cybersecurity discipline.
• 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.

Preferred Qualifications

• 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 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.

Pay Range

$136,076.50 - $213,834.50

Compensation & 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.

Equal Opportunity Statement

Quickbase is committed to building a diverse and inclusive workplace. We encourage candidates from all backgrounds to apply – even if you don’t meet every qualification listed. We are proud to be an equal opportunity employer.