About the Company

At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.

About the Role

We are looking for a Solution Architect to join our delivery team. You will own end-to-end solution design across client engagements — translating complex business requirements into scalable, production-ready technical architectures. You will work closely with our customer stakeholders, platform engineers, SREs, DevOps engineers and AI developers to ensure that what gets designed gets built, and built right.

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 SDLC 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, weighing cost, scalability, security, and delivery speed

Minimum Qualifications

Bachelor's degree in Computer Science, Software Engineering, Information Systems or related field
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)
Proven 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 CI/CD, testing, deployment, and operation
Application architecture experience designing services, APIs, and multi-component software systems
Hands on experience with relevant technologies like Terraform for infrastructure provisioning and automation and Helm for Kubernetes application deployment

Preferred Qualifications

Masters Degree in Computer Science, Software Engineering, Information Systems or related field
Relevant certifications such as AWS, Azure, GCP, CKA, CKAD, DevOps, DevSecOps, or programming certifications
Strong DevOps or DevSecOps experience, including CI/CD ownership, security practices, and infrastructure automation as a primary responsibility

Why Join Us?

A high-performance culture
State-of-the-art technology
Experience world-class leadership
Scale of impact and purpose
A competitive salary and a huge growth trajectory
Work with the best in the industry
Flexible work environment
Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

Future Secure AI Privacy Policy

At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website atwww.futuresecure.ai(the "Website") and use our services.

Salary Band: 200000.0 - 250000.0 USD

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

Future Secure AI

Solutions Architect

About the job