Adversary Emulation & AI Security Engineer

Artemis; New York (NY); On-site; USD 180,000 - 220,000; Full time

Job summary

Artemis seeks experienced cybersecurity professionals to advance its AI-driven defense platform from New York. You will design scalable adversary emulations, validate detections end-to-end, and research attacks against AI systems and data pipelines, turning findings into practical defenses across cloud, identity, and endpoints.

Join a team of engineers, researchers, and security experts building repeatable scenarios, authorized test harnesses, and detector tests to help customers defend their

Qualifications

• 5+ years of hands-on cybersecurity experience, with substantial offensive security, red teaming, adversary emulation, or security research work.
• Strong Python skills and a track record building reusable security tools with APIs, SDKs, Git, code review, and automated testing.
• Deep practical expertise in at least one cloud or identity ecosystem, with an understanding of permissions, service identities, sessions, and data access.
• Practical web/API security knowledge and experience chaining weaknesses across authorization boundaries into meaningful attack paths.
• Experience reproducing attacks in controlled environments and connecting the resulting behavior to audit logs, detection logic, and investigation evidence.
• Experience assessing AI applications or agent workflows, or demonstrated offensive research into these systems.
• Sound judgment in sensitive environments: define scope, anticipate side effects, limit impact, protect data, and verify cleanup.
• Clear communication and the ability to own work from research through implementation, operational use, and verified outcomes.

Responsibilities

• Build scalable adversary emulation – Develop reusable scenarios and automation that reproduce attacker behaviors and multi-stage attack chains across cloud, identity, endpoint, SaaS, AI, and data environments.
• Validate detections end to end – Trace emulated activity through collection, normalization, enrichment, detection, and investigation.
• Research attacks against AI systems – Investigate prompt injection, MCP and tool abuse, retrieval poisoning, excessive agent privileges, and unauthorized actions.
• Research attacks against data planes – Explore abuse of service identities, integration tokens, permissions, and data access across databases, warehouses, object storage, and AI retrieval systems.
• Reproduce emerging exploits – Assess relevant vulnerability disclosures and exploit research in isolated labs.
• Enable safe testing in customer environments – Build authorized emulations and control checks with clear scope, preflight checks, least-privilege access, and verified cleanup.
• Build continuous validation – Integrate scenarios with detector tests and engineering workflows.
• Turn research into defensive improvements – Contribute detections, hunt logic, telemetry requirements, and regression tests.
• Partner with the SOC and customers – Run purple-team exercises, explain findings and limitations, and provide evidence for investigators.

Skills

Cybersecurity

Python

Cloud security

Web API security

Security tooling

Tools

Atomic Red Team

MITRE ATT&CK

ATLAS

Job description

Artemis seeks experienced cybersecurity professionals to advance its AI-driven defense platform from New York. You will design scalable adversary emulations, validate detections end-to-end, and research attacks against AI systems and data pipelines, turning findings into practical defenses across cloud, identity, and endpoints.

Join a team of engineers, researchers, and security experts building repeatable scenarios, authorized test harnesses, and detector tests to help customers defend their