At Future Secure AI, we're building something genuinely recent — 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 RoleWe 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 withourcustomer stakeholders,platform engineers,SREs, DevOps engineers and AI developers to ensure that what gets designed getsbuilt, and built right.ResponsibilitiesDefine end-to-end solution architectures that map client business requirements to scalable technical designsDesign and guide Kubernetes-based architectures supporting AI and application workloadsLead solution design across cloud infrastructure, application services, data flows, and integrationsWork hands-on with public cloud services to shape deployable, production-ready solutionsCollaborate with engineers, AI developers,



and platform teams to ensure architectures are implemented as designedSupport architecture workshops and design sessions with internal teams and client stakeholdersEnsure solutions align with SDLC practices from design through build, test, deployment, and operationDesign application and system architectures spanning APIs, services, and multi-componentsystemsContribute to platform engineering efforts that enable teams to build andoperateAI Co-Workers efficientlyBalance technical excellence with pragmatism, weighing cost, scalability, security, and delivery speedMinimum QualificationsBachelor's degree in Computer Science, Software Engineering, a related technical discipline, or equivalent practical experience7+ years of professional experience in a technical role spanning solution architecture, platform engineering, cloud infrastructure, or software developmentDemonstrable 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 audiencesExperience in a customer-facing technical role, engaging directly with client stakeholders to understand requirements, present solutions, and drive alignmentHands-on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self-managed KubernetesExperience working across the full software development lifecycle including CI/CD, testing, deployment, and operationApplication architecture experience designing services, APIs, and multi-componentsoftware systemsHands on experience with relevant technologies like Terraform for infrastructure provisioning and automation and Helm for Kubernetes application deploymentPreferred QualificationsRelevant certifications such as AWS, Azure, GCP, CKA, CKAD, DevOps,Be careful - Don't provide your bank or credit card details when applying for jobs.
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📌 Solutions Architect (New South Wales)
🏢 Future Secure AI
📍 New South Wales