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 seeking a Lead Platform & Security Architect to shape the evolution of Atlas, FSAI's enterprise AI platform, with particular accountability for strengthening the platform's security architecture and enterprise trust capabilities.

This is a senior, hands-on architecture leadership role spanning agentic platform and runtime architecture, identity and security controls, enterprise integration, deployment portability and technical governance. You will translate product strategy, customer requirements and regulatory obligations into explicit architectural patterns that engineering teams can implement, validate and operate.

The role will be based in Australia and act as a senior technical counterpart to enterprise architects, CTOs, CISOs and security and risk teams at customers, particularly in regulated industries. You will work across Product, Engineering, Applied Science,



Delivery and Risk/Compliance, providing cross-domain architectural direction without duplicating Engineering's delivery.

We need someone with deep security architecture expertise and broad distributed-systems judgement: able to strengthen the current platform while challenging assumptions, reducing operational complexity and helping Atlas scale across different customer environments and routes to market.

Key Responsibilities

Define and evolve Atlas's target-state architecture, including AI worker execution, orchestration, runtime boundaries, control-plane services, lifecycle management, integration interfaces and enterprise governance

Translate Product strategy and customer use cases into reusable platform capabilities and architectural principles, balancing security, performance, reliability, portability, cost and speed of adoption

Evaluate architectural alternatives to infrastructure-heavy deployments, including composable services, portable runtimes and different managed or customer-hosted execution models; use prototypes and evidence to test assumptions

Define consistent architecture contracts and trust boundaries for AICWs, tools, models, third-party services and customer systems, in partnership with relevant engineering and applied-science specialists

Guide supported deployment and integration patterns across cloud and customer-managed environments,



including the operational and commercial trade-offs of each model

Security Architecture & Enterprise Trust

Own Atlas platform security architecture and reference patterns for identity, delegated and workload access, least privilege, segmentation, secrets, encryption, key management, secure connectivity and data residency

Lead threat modelling and architecture security reviews for agentic execution, tool invocation, model and data flows, multi-tenant isolation, customer integrations and material platform changes

Define technical safeguards for agentic AI systems, including tool permissions, execution boundaries, untrusted inputs, sensitive-data handling, auditability and human approval for consequential actions

Translate applicable requirements from frameworks such as ISO 27001, SOC 2, NIST, PCI DSS, HIPAA and relevant privacy or financial-services expectations into platform control designs, documented control mappings and deployable patterns

Partner with Risk/Compliance to identify control ownership, assurance evidence and gaps; provide technical leadership for customer due diligence and independent assessments without assuming ownership of company-wide compliance certification

Set security architecture standards for secure software delivery, software supply chain, vulnerability prioritisation, artefact integrity, policy as code, evidence capture and monitoring; work with Engineering and operations owners on implementation

Define security observability, audit-log integrity, forensic readiness and incident-support architecture in conjunction with platform operations and incident-response owners

Architecture Governance & Implementation A

📌 Lead Platform ArchitectNew (Sydney)
🏢 Future Secure AI
📍 Sydney