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Sr Security Engineer | AI

Job in New Bedford, Bristol County, Massachusetts, 02746, USA
Listing for: Quickbase
Full Time position
Listed on 2026-07-24
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Cybersecurity, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 136076 - 213834 USD Yearly USD 136076.00 213834.00 YEAR
Job Description & How to Apply Below

Position Summary

Reporting to the CISO, the Senior AI Security Engineer will serve as a key contributor to Quickbase's AI security program. This role is responsible for securing enterprise AI technologies, enabling the safe use of AI-powered development tools, supporting AI governance initiatives, conducting AI risk assessments, 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.

Level

& Scope

Operates independently across multiple AI security initiatives.

Partners with Engineering, Product, IT, Legal, Privacy, Compliance, and business teams to support secure AI adoption.

Provides security guidance for enterprise AI technologies, developer AI tooling, and AI-enabled workflows.

Supports implementation of AI governance requirements through technical controls and operational processes.

Evaluates emerging AI technologies and recommends security best practices.

Contributes to the evolution of Quick Base’s AI security capabilities, standards, and governance processes.

Influences stakeholders and drives security outcomes without direct authority.

Key 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 Git Hub, Salesforce, Slack, Jira, Confluence, SharePoint, Workday, Service Now, 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.
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.
  • 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.
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.
  • 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.
Security Automation & Innovation
  • Identify opportunities to leverage AI to improve security operations, engineering processes, and operational efficiency.
  • Evaluate emerging AI security technologies and tooling.
  • Develop…
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