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Future Secure AI

Delivers persona-based, multi-agent enterprise AI Co-Workers

Forward Deployed Engineer

Full-Time
$140k - $180k/yr
Senior
Bachelor's, Master's
Toronto, ON, Canada+1 moreMore locations: Austin, TX, USA
Remote
DevOps & InfrastructureSite Reliability Engineering

About the job

Requirements
  • A bachelor's degree in Computer Science, Information Systems, or a related field.
  • At least 5 years of professional experience in Site Reliability Engineering or DevOps Engineering.
  • Experience designing, building, or operating Kubernetes workloads on Amazon Elastic Kubernetes Service, Azure Kubernetes Service, Google Kubernetes Engine, or self-managed Kubernetes.
  • Experience using Terraform for infrastructure provisioning and automation.
  • Experience using Helm for Kubernetes application deployment.
  • Professional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby.
  • Direct experience with reliability engineering, on-call rotations, incident response, post-mortems, and toil reduction.
  • DevOps or DevSecOps experience, including continuous integration and continuous delivery ownership, infrastructure automation, and security considerations.
Responsibilities
  • Design, build, and operate reliable production infrastructure supporting AI Co-Workers.
  • Own Kubernetes-based platforms used to deploy and run AI workloads.
  • Build and maintain infrastructure as code using Terraform.
  • Implement and maintain Helm-based deployment workflows.
  • Define, measure, and improve system reliability using service-level indicators, service-level objectives, and service-level agreements.
  • Participate in on-call rotation, incident response, root cause analysis, and post-mortems.
  • Reduce operational toil through automation and engineering improvements.
  • Build and improve observability across monitoring, logging, and alerting.
  • Partner closely with engineers to ensure systems are resilient, scalable, and secure.
  • Operate across the build, deploy, and operate phases of the software lifecycle.
Desired Qualifications
  • A master's degree in Computer Science, Information Systems, or a related field.
  • Experience working within a defined software development life cycle, including continuous integration and continuous delivery, release processes, and end-to-end delivery from design to operations.
  • Hands-on experience with at least one major cloud provider such as Amazon Web Services, Microsoft Azure, or Google Cloud.
  • Experience with ArgoCD or GitOps-style deployment approaches.
  • Relevant certifications such as Certified Kubernetes Administrator, Certified Kubernetes Application Developer, cloud certifications, DevOps, DevSecOps, or programming credentials.

About the company

Future Secure AI builds persona-based, multi-agent AI Co-Workers designed for large enterprises and private equity firms. Their core offering, Red-Zone AI Co-Workers, consists of over 100 agent personas that automate complex, high-stakes workflows. The agents integrate with a client’s core systems and governance frameworks and operate securely on the client’s network, remaining cloud- and LLM-agnostic to avoid vendor lock-in. Workflows run within a hybrid team, with AI Co-Workers reporting to human managers and maintaining human-in-the-loop oversight. The company differentiates itself by targeting mission-critical environments with on-premise deployment, strong governance, and integration into existing IT and security controls, rather than generic AI tools. Their stated goal is to deliver 10x to 20x ROI on operating costs, often paying for themselves within six months. Clients span infrastructure, services, finance, health, and connected economies.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

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Simplify's Take

What believers are saying

  • September 2026 pre-IPO fundraising reached a $1.8 billion valuation cap.
  • April 2026 Austin HQ and triple-hiring plan signal aggressive scaling.
  • Customers cite Macquarie, Healius, FIS, and Toga for finance and operations wins.

What critics are saying

  • ServiceNow and Salesforce shipped agent platforms in 2026, compressing differentiation quickly.
  • September 2026 TTAB appeal shows trademark vulnerability around Future Secure AI branding.
  • Multi-agent systems raise security and cascading-failure risks across privileged enterprise systems.

What makes Future Secure AI unique

  • Red-Zone AI targets complex, mission-critical workflows beyond copilots or simple agents.
  • On-network, cloud-agnostic deployments with 100+ agents reduce lock-in for regulated enterprises.
  • Persona-based co-workers report to human managers, fitting hybrid enterprise teams and governance.

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Benefits

  • Flexible Work Hours