AI Security Engineer Co-Op Intern, Winter 2027
Brain Co is hiring an AI Security Engineer Co-Op Intern, Winter 2027 for a remote role open to applicants in United States. Level rates it ; you can apply on Level.
Level's read on this job
- Works on AI ●●●○ is how Level rates this cybersecurity role: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include Databricks, Kubernetes and Terraform.
- Level lists 37 other open roles at Brain Co.
- The role was posted within the past two weeks.
AI in this role
Build security controls, CI/CD pipelines, and infrastructure protection for AI-native operating systems at Brain Co.
Rebuild how the world works, to make institutions work better for the people they serve.
About Brain Co.Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
Why NowBrain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.
You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.
About the Co-Op
As a Platform Security Engineer Co-Op Intern, you’ll work alongside experienced security, platform, and infrastructure engineers to help build security directly into how Brain Co. develops and ships software.
This co-op is designed for current undergraduate students, specifically juniors or seniors, who want hands-on experience securing real production systems. You’ll contribute to projects across CI/CD, cloud infrastructure, Kubernetes, containers, and Infrastructure-as-Code while receiving mentorship through code reviews, design discussions, and hands-on collaboration with the team.
This is a builder-focused security role. You’ll learn how security tooling and automated guardrails can make the secure path the easy path for engineers.
What You’ll Work On
Help build and improve security controls in CI/CD pipelines, including static analysis, secrets scanning, dependency checks, and automated policy enforcement.
Contribute to developer-facing security tooling, such as linting rules, reusable workflows, automation, and guardrails.
Help secure Kubernetes and containerized workloads, including access controls, image security, workload configuration, and deployment policies.
Contribute to security baselines in Terraform and Infrastructure-as-Code, including IAM, networking, encryption, and secure defaults.
Work with cloud infrastructure across AWS, GCP, or Azure to identify misconfigurations and improve security visibility.
Help automate the detection and remediation of common security issues.
Participate in threat modeling, code reviews, and architecture discussions alongside experienced security and platform engineers.
Work with engineers to understand security findings and turn them into practical, actionable fixes.
Help improve documentation and tooling so security controls are easy for developers to understand and adopt.
You Might Be a Great Fit If You…
Are a current undergraduate student, specifically a junior or senior, pursuing a degree in Computer Science, Engineering, Cybersecurity, or a related technical field.
Have strong software engineering fundamentals through coursework, internships, research, or personal projects.
Have experience programming in Python, Go, Java, C++, Bash, or a similar language.
Have exposure to or a strong interest in application security, platform security, cloud security, or infrastructure security.
Are familiar with or excited to learn technologies such as Kubernetes, Docker, Terraform, GitHub Actions, and AWS/GCP/Azure.
Have an interest in how software moves from code to production, including CI/CD, containers, cloud infrastructure, and deployment workflows.
Enjoy thinking about how systems can fail, where trust boundaries exist, and how security controls can prevent problems without slowing engineers down.
Are curious, proactive, and excited to learn quickly in a fast-paced engineering environment.
Enjoy taking ownership of technical problems while learning from experienced engineers.
Bonus Points For
Coursework, projects, or internship experience involving cloud security, Kubernetes, or Infrastructure-as-Code.
Familiarity with security tooling such as OPA, Conftest, Kyverno, Trivy, Semgrep, or similar tools.
Experience with secrets management, IAM, or authentication and authorization systems.
Interest in software supply chain security, including dependency security, image signing, SBOMs, or secure build pipelines.
Experience building developer tools or automation.
What You’ll Gain
Hands-on experience building security tooling for production AI systems.
Practical exposure to CI/CD security, Kubernetes, cloud infrastructure, containers, and Infrastructure-as-Code.
Experience designing security controls that fit directly into real engineering workflows.
Direct mentorship from experienced security, platform, and infrastructure engineers.
Exposure to threat modeling, secure architecture, and software supply chain security.
Ownership over meaningful engineering projects that can ship into production.
Co-Op Details & Benefits
Winter / Spring Co-Op: January 11, 2027 – April 30, 2027
Competitive co-op compensation.
Hands-on mentorship from experienced security and infrastructure engineers.
Opportunity to work on real production systems used globally.
Potential return-offer consideration for future internships or full-time roles.
Daily lunches if onsite.
Why Intern at Brain Co.
Help secure AI systems deployed across governments, healthcare, and other critical industries.
Work on security as an engineering problem, not just a policy or compliance exercise.
Learn directly from engineers and leaders from Tesla, DeepMind, Databricks, and other top engineering organizations.
Build practical experience with the security foundations behind modern production AI systems.
Take ownership early and grow quickly through hands-on engineering.
Thrive in a culture built on speed, curiosity, and impact.
If you’re a current junior or senior who wants to build security into real systems rather than only study vulnerabilities in isolation, Brain Co. is a place to learn, build, and make an impact.
How we rate this
AI Security Engineer Co-Op Intern, Winter 2027 at Brain Co rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in cybersecurity jobs at this level
Pay
- Typical cybersecurity job
- $159k
This posting doesn't list pay. Use the typical cybersecurity figure when pay comes up. See cybersecurity jobs
Questions you could be asked
- Tell me about a project where security was part of your work. What did you do?
- Tell me about a project where ci cd was part of your work. What did you do?
- Tell me about a project where infrastructure as code was part of your work. What did you do?
- Tell me about a project where container security was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Security, Ci Cd, Infrastructure As Code, Container Security, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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