Top Artificial Intelligence Cybersecurity Jobs

Conduct KYC, enhanced due diligence, and supply-chain risk research using DDIQ, OSINT, and trade databases. Assess and validate AI-driven outputs, synthesize findings into client-ready reports, onboard and train users, and advise government customers on risk mitigation and tool usage in a fast-paced environment.

Manage and enhance cybersecurity alerting strategies, develop AI models for threat detection, and identify new cybersecurity opportunities at Dataminr.

Lead technology alliances by leveraging deep cybersecurity expertise to design and execute co-build, co-marketing, and co-selling programs with strategic partners; enable pre-sales and co-sell activities; drive partner integrations, referral registrations, and alliance-sourced revenue; and evolve the partner program and portal to increase automation, self-service, and partner value.

Architect, implement, and operate a secure Microsoft 365 and Entra ID environment. Manage identity lifecycle, Conditional Access, Intune device compliance, Defender security tooling, and Purview compliance. Support CMMC/NIST control implementation, audits, documentation, and cross-team integration to maintain secure, compliant enterprise services.

Manage Sawhorse's servers, infrastructure, and cybersecurity; oversee onboarding/offboarding, access controls, backups, disaster recovery, vendor purchasing, and daily IT support. Ensure compliance with studio security standards and build secure workflows for hybrid creative production teams.

Support and maintain remote monitoring, security, patching, backups, and automation across MSP client environments. Act as escalation between Service Desk and Senior Engineering, enforce change control, configure firewalls, develop PowerShell automation, and maintain documentation and SOPs.

The AI Support Engineer manages IT infrastructure, provides support to users, automates processes, and ensures security compliance while managing device and user productivity tools.

Design and implement end-to-end mitigations for model-enabled cyber misuse, integrate safeguards across product surfaces, evaluate trade-offs, collaborate on threat modeling, and execute red-teaming and testing to iterate protections against evolving attacks.

The role involves overseeing cybersecurity compliance projects, managing teams, ensuring quality standards, and engaging with clients on compliance matters.

Investigate anomaly detection and fraud signals to identify threats and attacker behaviors. Produce client-facing intelligence reports, present findings to senior stakeholders, and partner with Product, Data Science, and Fraud Research to improve detections and operationalize repeatable investigation frameworks for premium customers.