---
title: 'AI Security Engineer Co-Op Intern, Winter 2027 at Brain Co.'
canonical: 'https://feeny.ai/job/ai-security-engineer-co-op-intern-winter-2027-brain-co-san-francisco-6yxe5yv9nfr8'
type: 'job'
last_seen: '2026-10-14'
---

# AI Security Engineer Co-Op Intern, Winter 2027 at Brain Co.

- **Company:** Brain Co.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-09
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/brainco/c93cdb4a-1ca8-40e0-b49c-205922772930

## Job description

## Our Mission

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 Now

Brain 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.

## About Brain Co.

## Company Overview
- **One-liner**: Brain Co. builds applied AI platforms and applications that automate complex, manual workflows for the world’s most important institutions, turning permitting, insurance, supply chain, and patient-care processes from months-long bottlenecks into minutes-long transactions.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States (also offices in the United Arab Emirates, United Kingdom, and Spain)
- **Founded**: 2024 (founding conversation in February 2024; public launch in 2025)
- **Founders**: Jared Kushner, Dan Ashton (CEO), Elad Gil, Dr. Luis Videgaray, Eric Wu, Mircea Pasoi, Revant Kapoor

## Core Business
- **Primary industries**: Artificial intelligence, government technology, healthcare, insurance, energy, hospitality, supply chain logistics
- **Target customers**: Global 2000 enterprises, federal/state governments, large healthcare systems, insurance carriers (B2B / Enterprise)
- **Mission or purpose statement**: “Empower the world’s most important institutions to create an abundant AI future” and “reinvent the broken processes that hold governments and institutions back.”

## Products & Services
- **Permitting**: Automates construction and other permitting workflows, cutting the process from months to minutes (claims 99% faster, $375M+ unlocked annually). SaaS / AI workflow platform.
- **Specialty Insurance**: Cuts complex underwriting and adjusting workflows from hours to minutes. AI-powered decision engine.
- **Supply Chain**: Optimizes end-to-end supply chain operations, delivering 30% lower cost, 99% reliability, and mitigating $100M+ in lost revenue. Integrated AI platform.
- **Patient Pathways**: Automates patient care-path management, returning patients to optimal care faster. Healthcare AI application.
- **General AI Platform**: An underlying platform that automatically incorporates advances in foundation models, enabling applications to stay current without traditional re-development.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company; Series A at $30M raised)
- **Key Metric**: $30 million total funding (Series A, led by Elad Gil and Affinity Partners, announced October 2025)
- **Notable Investors/Partners**:
  - Lead investors: Elad Gil (Gil Capital), Affinity Partners
  - Strategic partner: OpenAI
  - Angel investors include Ali Ghodsi (CEO Databricks), Andrej Karpathy, Aravind Srinivas (CEO Perplexity), Brian Armstrong (CEO Coinbase), Kevin Weil (CPO OpenAI), Reid Hoffman, Patrick Collison (CEO Stripe), Sarah Guo (Conviction), and many more.
- **Growth Signals**:
  - Headcount: 73 employees (LinkedIn, June 2026), monthly growth of +20.2%, quarterly job posting growth +47.4%
  - 10+ Global 2000 customers and multiple government engagements
  - $375M+ annual value unlocked in permitting alone; $100M+ supply chain revenue loss mitigated
  - Strategic partnership with OpenAI for model access and co-innovation
  - Engineering talent sourced from Stripe, Palantir, Amazon, Adobe, Roblox, and Alchemy

## Competitive Advantages
- **Outcome-based pricing**: Revenue model tied to client results, not software licenses – clients pay based on value delivered.
- **Production deployment, not pilots**: Every engagement begins with a value case; solutions go straight into production.
- **Domain-expertise embedded**: Subject matter experts in each vertical (government, insurance, healthcare) work alongside AI engineers to build around specific rules, regulations, and workflows.
- **Future-proof AI**: Applications automatically incorporate new capabilities from foundation models as they are released, avoiding obsolescence.
- **Enterprise-grade security**: SOC 2 and HIPAA-ready infrastructure with hallucination controls and guardrails.

## Strategic Focus
- Scale the platform across additional government and enterprise verticals (e.g., energy, hospitality)
- Deepen the partnership with OpenAI to rapidly leverage newest model capabilities
- Expand headcount (28 active job postings, especially in AI engineering, infrastructure, security, and deployment)
- Extend presence in the Middle East (Qatar, UAE) and Europe (UK, Spain)
- Continue building a new software-development paradigm where applications auto-update with AI advances

## Why Work Here
- **Culture**: “World-class talent built to deliver applied AI in production.” The team includes engineers from Tesla, NVIDIA, DeepMind, and top tech companies. Emphasis on solving hard, high-impact problems for the largest institutions.
- **Remote/hybrid/office**: Not explicitly stated, but headquarters in San Francisco with distributed teams in UAE, UK, and Spain. Likely a hybrid or office-first model given the nature of client engagements.
- **Notable perks or engineering culture**:
  - Outcome-driven work: every project tied to measurable value cases
  - Direct partnership with OpenAI and access to cutting-edge models
  - High-caliber co-founders (Kushner, Gil, Videgaray, Wu) and leadership (Marne Levine, former COO Instagram/Meta)
  - Rapidly growing (~73 people, +20% monthly headcount growth) – offers early-stage ownership
  - Roles span AI platform engineering, agentic systems, infrastructure, security, and deployment consulting

## Sources
1. [brain.co](https://brain.co/) – Main site overview
2. [brain.co](https://brain.co/blog/introducing-brain-co-9gk9a) – Introducing Brain Co. blog post (funding, founders, investors, customers)
3. [braincompany.ai](https://braincompany.ai/about) – About page (team, approach, security)
4. [linkedin.com](https://www.linkedin.com/company/brainco-ai/jobs) – LinkedIn company page (headcount, growth, job postings, talent sources)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/brainco/) – Careers page (open positions)

## Other roles at Brain Co.

- [AI Platform Engineer Co-Op Intern, Winter 2027](https://feeny.ai/job/ai-platform-engineer-co-op-intern-winter-2027-brain-co-san-francisco-kp0p14kewgt0) — San Francisco, CA
- [Machine Learning Engineer, Applied AI Co-Op Intern, Winter 2027](https://feeny.ai/job/machine-learning-engineer-applied-ai-co-op-intern-winter-2027-brain-co-san-zryx6b3070na) — San Francisco, CA
- [AI Product Engineer Co-Op Intern, Winter 2027](https://feeny.ai/job/ai-product-engineer-co-op-intern-winter-2027-brain-co-san-francisco-r9j5xv2yqwr3) — San Francisco, CA
- [Machine Learning Engineer, Platform](https://feeny.ai/job/machine-learning-engineer-platform-brain-co-new-york-jeg7mvn4bx8x) — New York, NY
- [Machine Learning Engineer, Applied AI](https://feeny.ai/job/machine-learning-engineer-applied-ai-brain-co-new-york-9sanbvzxax6h) — New York, NY
- [Permitting & Plan Review Expert](https://feeny.ai/job/permitting-plan-review-expert-brain-co-remote-b7wzcevkwzbf)
- [Platform Security [US]](https://feeny.ai/job/platform-security-us-brain-co-san-francisco-bd7dqqhyb600) — San Francisco, CA
- [Brand Designer, Motion](https://feeny.ai/job/brand-designer-motion-brain-co-san-francisco-act54fkmaex6) — San Francisco, CA
- [AI Deployment Lead](https://feeny.ai/job/ai-deployment-lead-brain-co-san-francisco-9tdnr7z3hpb4) — San Francisco, CA
- [Product Manager, Financial Services](https://feeny.ai/job/product-manager-financial-services-brain-co-san-francisco-3fa24156j0vd) — San Francisco, CA