BRAIN Visa Sponsorship Jobs USA
BRAIN operates in the Technology & Software space and has an established record of sponsoring work visas for international talent, including H-1B visa and Green Card pathways. For skilled professionals in tech seeking a company with a genuine commitment to visa sponsorship, BRAIN is worth targeting.
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Get Access To All JobsOur 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 Role:
We’re looking for a Platform Security Engineer to build the guardrails that keep our AI agents safe to run on real customer data. This isn’t a policy or compliance role—it’s a builder role. You’ll design and ship the code that constrains what an agent can access, do, and expose: scoped credentials, data access boundaries, action validation, and audit trails, so product teams can put agents in front of sensitive government, healthcare, and enterprise data with confidence.
You’ll work as a software engineer embedded with our product and agent-platform teams—writing production code, not just policy—to make the secure path the only path an agent can take.
What You’ll Build & Ship
- Design and build the guardrail services that mediate actions an AI agent takes, scoped permissions, tool-call validation, and hard limits on what an agent can read, write, or send
- Write production code for data access controls that keep customer PII and sensitive records inside approved boundaries, even when an agent is orchestrating the request
- Build reusable guardrail libraries and SDKs so product engineers can drop data protection and permissioning into new agent workflows without reinventing it each time
- Design detection and containment for agent-specific failure modes, prompt injection, tool misuse, data exfiltration attempts, and build automated tests and red-team harnesses to catch them before production
- Instrument agents with tamper-evident audit logs and decision trails so every customer-data access is explainable after the fact
- Partner with product, platform and ML engineering to review new agent capabilities before launch and flag where guardrails are missing
- Own the developer experience for guardrails: clear APIs, documentation, and low-friction integration so engineers adopt controls instead of routing around them
- Help define and measure guardrail effectiveness, coverage across security workflows, false positive/negative rates, mean time to detect and contain
What We’re Looking For
Required
- 5 to 8 years as a software engineer building and shipping production systems, with meaningful time spent on security, data protection, or trust & safety problems
- Strong general-purpose programming skills (Python, Go, TypeScript, or similar), comfortable designing services and APIs other engineers depend on, not just writing scripts or config
- Experience with or strong working knowledge of how AI agents operate in production, tool use, function calling, orchestration frameworks (LangChain, LangGraph, or similar)
- Solid grasp of data protection fundamentals: PII handling, access control, encryption, and least privilege, and how they hold up once an agent is in the loop
- Comfortable designing systems used by other engineers—clear interfaces, sensible defaults, predictable failure modes
- Working cloud experience (AWS, GCP, or Azure) sufficient to build and deploy services securely
- Comfortable across the SDLC, understands how developers work and designs guardrails that don’t create friction
- Strong written English; able to write documentation and runbooks engineers actually read
Nice to Have
- Direct experience building guardrails or safety layers for LLM/agent systems—prompt injection defenses, content filtering, output validation
- Background in regulated industries (healthcare, government, financial services) handling sensitive customer data
- Familiarity with policy-as-code, secrets management, or software supply-chain security tooling
- Prior startup experience; comfort with ambiguity and working autonomously
Why This Role
You’ll have real ownership and clear scope: a defined guardrail surface across our platform, and the mandate to build. Your code will ship into production and directly shape how safely our agents operate on customer data as the platform grows. If you’re a software engineer who wants to spend more time building than advising, this is that role.
To apply, send your CV and a brief note on a guardrail, safety control, or piece of security tooling you’ve built to [hiring contact].
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 Role:
We’re looking for a Platform Security Engineer to build the guardrails that keep our AI agents safe to run on real customer data. This isn’t a policy or compliance role—it’s a builder role. You’ll design and ship the code that constrains what an agent can access, do, and expose: scoped credentials, data access boundaries, action validation, and audit trails, so product teams can put agents in front of sensitive government, healthcare, and enterprise data with confidence.
You’ll work as a software engineer embedded with our product and agent-platform teams—writing production code, not just policy—to make the secure path the only path an agent can take.
What You’ll Build & Ship
- Design and build the guardrail services that mediate actions an AI agent takes, scoped permissions, tool-call validation, and hard limits on what an agent can read, write, or send
- Write production code for data access controls that keep customer PII and sensitive records inside approved boundaries, even when an agent is orchestrating the request
- Build reusable guardrail libraries and SDKs so product engineers can drop data protection and permissioning into new agent workflows without reinventing it each time
- Design detection and containment for agent-specific failure modes, prompt injection, tool misuse, data exfiltration attempts, and build automated tests and red-team harnesses to catch them before production
- Instrument agents with tamper-evident audit logs and decision trails so every customer-data access is explainable after the fact
- Partner with product, platform and ML engineering to review new agent capabilities before launch and flag where guardrails are missing
- Own the developer experience for guardrails: clear APIs, documentation, and low-friction integration so engineers adopt controls instead of routing around them
- Help define and measure guardrail effectiveness, coverage across security workflows, false positive/negative rates, mean time to detect and contain
What We’re Looking For
Required
- 5 to 8 years as a software engineer building and shipping production systems, with meaningful time spent on security, data protection, or trust & safety problems
- Strong general-purpose programming skills (Python, Go, TypeScript, or similar), comfortable designing services and APIs other engineers depend on, not just writing scripts or config
- Experience with or strong working knowledge of how AI agents operate in production, tool use, function calling, orchestration frameworks (LangChain, LangGraph, or similar)
- Solid grasp of data protection fundamentals: PII handling, access control, encryption, and least privilege, and how they hold up once an agent is in the loop
- Comfortable designing systems used by other engineers—clear interfaces, sensible defaults, predictable failure modes
- Working cloud experience (AWS, GCP, or Azure) sufficient to build and deploy services securely
- Comfortable across the SDLC, understands how developers work and designs guardrails that don’t create friction
- Strong written English; able to write documentation and runbooks engineers actually read
Nice to Have
- Direct experience building guardrails or safety layers for LLM/agent systems—prompt injection defenses, content filtering, output validation
- Background in regulated industries (healthcare, government, financial services) handling sensitive customer data
- Familiarity with policy-as-code, secrets management, or software supply-chain security tooling
- Prior startup experience; comfort with ambiguity and working autonomously
Why This Role
You’ll have real ownership and clear scope: a defined guardrail surface across our platform, and the mandate to build. Your code will ship into production and directly shape how safely our agents operate on customer data as the platform grows. If you’re a software engineer who wants to spend more time building than advising, this is that role.
To apply, send your CV and a brief note on a guardrail, safety control, or piece of security tooling you’ve built to [hiring contact].
Job Roles at BRAIN
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Get Access To All JobsTips for Finding BRAIN Visa Sponsorship Jobs USA
Target roles that align with H-1B specialty occupation criteria
BRAIN's sponsorship activity is concentrated in technical and software roles. Focus your applications on positions requiring a specific degree field, software engineering, data science, or systems architecture, where H-1B qualification is straightforward and employer buy-in is higher.
Understand which visa types BRAIN actively files
BRAIN sponsors H-1B, Green Card (EB-2 and EB-3), F-1 OPT, and TN visas. Knowing this upfront lets you position yourself correctly, especially if you're on OPT and need a clear path to H-1B cap sponsorship before your authorization expires.
Raise sponsorship early but frame it as a formality
BRAIN has a track record of sponsoring international hires across multiple visa types. When the topic comes up, reference their history confidently rather than apologetically, framing it as a process you're familiar with signals professionalism and reduces perceived risk for the hiring team.
Align your application timeline with H-1B cap deadlines
If you need H-1B cap sponsorship, BRAIN would need to file in March for an October 1 start. Work backwards from that window when targeting roles, applications submitted in Q4 or Q1 give enough runway for hiring decisions and petition preparation.
Use verified sponsorship data when searching for BRAIN openings
Not every job posting signals whether sponsorship is available. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you find BRAIN roles where international candidates have a genuine shot, not just a listed possibility.
Highlight skills that map to BRAIN's Technology & Software focus
BRAIN operates in a sector where specialty occupation standards are well-established. Tailor your resume to emphasize technical depth, specific programming languages, systems, or platforms, rather than generalist skills, which can complicate specialty occupation arguments during H-1B adjudication.
Frequently Asked Questions
Does BRAIN sponsor H-1B visas?
Yes, BRAIN sponsors H-1B visas and has a consistent track record of doing so for roles in Technology & Software. Sponsored positions typically require a bachelor's degree or higher in a specific technical field. If you're targeting BRAIN for H-1B sponsorship, focus on roles with clear specialty occupation requirements such as software engineering or data analysis.
What visa types does BRAIN sponsor?
BRAIN sponsors H-1B, EB-2, EB-3, F-1 OPT, and TN visas. This range means international candidates at different stages, from recent graduates on OPT to experienced professionals seeking permanent residence, have viable pathways. The Green Card sponsorship through EB-2 and EB-3 is particularly valuable for candidates thinking beyond temporary work status.
Which roles or departments at BRAIN are most likely to receive visa sponsorship?
Sponsorship at BRAIN is most common in technical roles within software development, engineering, and related functions, areas where the specialty occupation standard is easiest to establish. Roles requiring a specific degree in computer science, software engineering, or a related field are the strongest candidates. Generalist or administrative roles are less likely to qualify for H-1B sponsorship.
How do I find open jobs at BRAIN that offer visa sponsorship?
Migrate Mate is the most reliable way to find BRAIN roles where sponsorship is confirmed, not just implied. The platform filters jobs by verified sponsorship history, so you're not guessing based on vague job descriptions. Search for BRAIN directly on Migrate Mate to see current openings alongside their actual sponsorship track record.
How do I approach the application process at BRAIN as an international candidate?
Start by identifying roles that clearly match your degree field and visa type. During the interview process, be prepared to explain your current work authorization status and anticipated timeline, particularly if you're on OPT and approaching the cap-gap window. BRAIN's experience sponsoring multiple visa types means their HR teams are generally familiar with the process, so a clear, direct conversation about your situation is the right approach.