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Future Secure AI

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

Solutions Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time$200k - $250k /yrIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Software Engineering, Information Systems or related field.
  • At least 7 years of professional experience in a technical role spanning solution architecture, platform engineering, cloud infrastructure, or software development.
  • Demonstrable experience delivering production-grade solutions on at least one major public cloud platform: AWS, Azure, or Google Cloud.
  • The ability to design and communicate complex technical architectures to both technical and non-technical audiences.
  • Experience in a customer-facing technical role, engaging directly with client stakeholders to understand requirements, present solutions, and drive alignment.
  • Hands-on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self-managed Kubernetes.
  • Professional experience using at least two programming or scripting languages such as Python, Java, Go, C#, JavaScript/TypeScript, Ruby, Bash, or PowerShell.
  • Experience working across the full software development lifecycle, including continuous integration and continuous delivery, testing, deployment, and operation.
  • Application architecture experience designing services, APIs, and multi-component software systems.
  • Hands-on experience with Terraform for infrastructure provisioning and automation and Helm for Kubernetes application deployment.

Responsibilities

  • Define end-to-end solution architectures that map client business requirements to scalable technical designs.
  • Design and guide Kubernetes-based architectures supporting AI and application workloads.
  • Lead solution design across cloud infrastructure, application services, data flows, and integrations.
  • Work hands-on with public cloud services to shape deployable, production-ready solutions.
  • Collaborate with engineers, AI developers, and platform teams to ensure architectures are implemented as designed.
  • Support architecture workshops and design sessions with internal teams and client stakeholders.
  • Ensure solutions align with software development lifecycle practices from design through build, test, deployment, and operation.
  • Design application and system architectures spanning APIs, services, and multi-component systems.
  • Contribute to platform engineering efforts that enable teams to build and operate AI Co-Workers efficiently.
  • Balance technical excellence with pragmatism by weighing cost, scalability, security, and delivery speed.

Desired Qualifications

  • A Master's degree in Computer Science, Software Engineering, Information Systems or related field.
  • Relevant certifications such as AWS, Azure, Google Cloud, Certified Kubernetes Administrator, Certified Kubernetes Application Developer, DevOps, DevSecOps, or programming certifications.
  • Strong DevOps or DevSecOps experience, including continuous integration and continuous delivery ownership, security practices, and infrastructure automation as a primary responsibility.

About the Company

Future Secure AI

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

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
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

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