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Solutions Architect at Future Secure AI | Sydney

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Must-Have Qualifications:Proven hands-on experience with Kubernetes, particularly in designing, building, or managing workloads on EKS, AKS, or GKE. Strong understanding of cloud-native architecture principles. Experience collaborating with cross-functional teams to deliver integrated solutions. Excellent communication skills, able to convey complex technical concepts to non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment.

About the job

Future Secure AI develops advanced AI Co‑Workers that automate essential operational tasks for enterprise clients. The company emphasizes secure, scalable, and production-ready platforms. Team members are encouraged to think boldly, uphold high standards, and stay curious. Leadership is both experienced and approachable, fostering a supportive environment where professional growth is valued.

Guided by BRAVER values, the team collaborates across industries to address real-world problems with innovative technology and disciplined design.

Role overview

The Solutions Architect, based in Sydney, will design and guide technical solutions for AI Co‑Workers in complex enterprise and platform settings. This hands-on position focuses on translating business needs into cloud-native, AI-powered systems that are scalable and secure.

What you will do

  • Define solution architectures that connect client business objectives to scalable technical designs.
  • Design and oversee Kubernetes-based systems supporting AI and application workloads.
  • Lead solution design across cloud infrastructure, application services, data flows, and integrations.
  • Work directly with public cloud services to deliver deployable, production-ready solutions.
  • Collaborate with engineers, AI developers, and platform teams to ensure architectural alignment.
  • Facilitate architecture workshops and design sessions with internal teams and client stakeholders.
  • Ensure solutions follow SDLC best practices throughout design, build, testing, deployment, and operations.
  • Design application and system architectures covering APIs, services, and multi-component systems.
  • Contribute to platform engineering initiatives that help teams efficiently build and manage AI Co‑Workers.
  • Balance technical excellence with practical considerations such as cost, scalability, security, and delivery speed.

Location

This role is based in Sydney.

About Future Secure AI

Future Secure AI is an innovative company focused on building AI solutions that enhance operational efficiency for enterprises worldwide. Our commitment to quality architecture and disciplined design underpins our success in developing scalable AI Co-Workers that address real-world challenges.

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