Security engineer, detection and response

present of AI; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

present of AI is seeking a Security Engineer focused on detection and response for its AI platform. The role emphasizes building detections, automating responses, and coordinating incidents across cloud infrastructure.

The candidate should have hands-on security operations or detection engineering experience, plus the ability to work across training data, model weights, and inference endpoints. GPU environments and distributed training are relevant.

Qualifications

• Hands-on security operations or detection engineering experience.
• Ability to write code to automate detection and response.
• Experience in cloud or distributed systems.

Responsibilities

• Build and run detection and response for an AI platform.
• Coordinate incident response and proactive threat hunting across large compute environments.

Skills

Python

Query languages

Threat hunting

Cloud

Job description

Security engineer, detection and response

The role asks for someone to build and run detection and response for an AI platform, covering threats aimed at training data, model weights and inference endpoints. A strong candidate brings several years of hands on security operations or detection engineering, writes code to automate detection and response, and has worked in cloud or distributed systems. Comfort with incident coordination and proactive threat hunting across large compute environments matters more than textbook patterns.

How it fits the AI era

AI shifts the work toward threats that target models and training pipelines, such as prompt injection, data poisoning and model extraction, which have few established signatures. Much of the job becomes building detections and automated containment that keep pace with fast changing tactics. The human core stays in judgment: investigating novel incidents, coordinating across teams and deciding what to contain.

How it builds AI experience

Working here means gaining hands on exposure to securing AI training and inference infrastructure, including GPU clusters and distributed training environments. A candidate can build this by practicing detection engineering on cloud telemetry, writing detection as code, and studying AI specific attack patterns. Familiarity with how model outputs and access to weights can signal compromise helps.

Worth showing

• Python or query languages
• Cloud and distributed systems
• Threat hunting

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Writer

Writer is an enterprise AI platform for building and supervising AI agents grounded in company data, per the company.