Forward Deployed Engineer
About the job
- Hands-on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self-managed Kubernetes.
- Hands-on Terraform experience for infrastructure provisioning and automation.
- Hands-on Helm experience for Kubernetes application deployment.
- Professional experience using at least two programming or scripting languages, such as Python, Go, Java, Bash, PowerShell, or Ruby.
- Ability to run technical conversations at engineer level and adjust discussions for leadership-level audiences.
- 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 AWS, Azure, or Google Cloud.
- Experience with ArgoCD or GitOps-style deployment approaches.
- Five or more years of relevant professional experience.
- DevOps experience, including continuous integration and continuous delivery ownership, infrastructure automation, and security considerations.
- Design, build, and operate reliable production infrastructure supporting AI Co-Workers.
- Design and configure production-grade Kubernetes clusters, rather than only operating workloads on existing clusters.
- 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.
- Work effectively in greenfield and brownfield customer environments, often with incomplete documentation.
- Leave customer environments in a clean, well-documented state that other teams can maintain.
- Partner with engineers to ensure systems are resilient, scalable, and secure.
- Relevant certifications, such as CKA, CKAD, 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