Lead Platform Architect

About the CompanyAt 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 RoleWe 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 clear 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 ResponsibilitiesPlatform & Product Architecture Define and evolve Atlas’s target-state architecture, including AI worker execution, orchestration, runtime boundaries, control-plane services, lifecycle management, integration interfaces and enterprise governanceTranslate Product strategy and customer use cases into reusable platform capabilities and architectural principles, balancing security, performance, reliability, portability, cost and speed of adoptionEvaluate 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 assumptionsDefine consistent architecture contracts and trust boundaries for AICWs, tools, models, third-party services and customer systems, in partnership with relevant engineering and applied-science specialistsGuide supported deployment and integration patterns across cloud and customer-managed environments, including the operational and commercial trade-offs of each modelSecurity Architecture & Enterprise TrustOwn Atlas platform security architecture and reference patterns for identity, delegated and workload access, least privilege, segmentation, secrets, encryption, key management, secure connectivity and data residencyLead threat modelling and architecture security reviews for agentic execution, tool invocation, model and data flows, multi-tenant isolation, customer integrations and material platform changesDefine technical safeguards for agentic AI systems, including tool permissions, execution boundaries, untrusted inputs, sensitive-data handling, auditability and human approval for consequential actionsTranslate 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 patternsPartner 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 certificationSet 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 implementationDefine security observability, audit-log integrity, forensic readiness and incident-support architecture in conjunction with platform operations and incident-response ownersArchitecture Governance & Implementation AssuranceLead or co-chair technical reviews within the Architecture Review Board, establish decision thresholds, and document significant decisions using architecture decision records and reference architecturesWork directly with principal engineers to validate designs through prototypes, implementation reviews, acceptance criteria and production feedback; detect and resolve architectural driftMaintain a visible architecture runway and prioritised register of architectural risks, technical debt, exceptions and capability gaps in partnership with Product and EngineeringCreate practical 101/201/301-level technical architecture materials that explain Atlas’s differentiated capabilities, trust model and supported deployment patterns to different customer audiencesCustomer & Cross-Functional Technical LeadershipAct as an Australia-based architecture authority for strategic customer CTO, enterprise-architecture, CISO and risk discussions, especially where security, governance, operating model or deployment assurances are material to adoptionPartner with Delivery and solution architects on repeatable enterprise patterns and exception handling; distinguish reusable platform requirements from customer-specific solutionsInfluence Engineering, Product, Applied Science and executive stakeholders through clear options, evidence, trade-offs and recommendations, rather than design mandates aloneMentor architects and principal engineers, improve architecture practices and help identify capability gaps; exercise technical leadership without default line management of platform engineering teamsMinimum Qualifications10+ years in software/platform architecture or senior engineering roles, with substantial technical architecture leadership in enterprise products or distributed systemsDemonstrated depth in cloud and application security architecture, including identity and access management, workload/service identity, network trust boundaries, secrets, encryption, threat modelling and secure system designPractical experience translating regulated-enterprise control or assurance requirements into implementable technical architecture, with direct participation in customer security reviews and/or external assurance activitiesStrong knowledge of cloud-native and distributed-system architectures, including orchestration, asynchronous processing, resilience, observability and operational lifecycle managementAbility to reason across multiple deployment substrates and cloud providers, and understand Kubernetes, Infrastructure as Code and CI/CD sufficiently to challenge designs and work effectively with specialist engineers; deep Kubernetes administration is not requiredExperience establishing architecture standards, reviewing complex technical designs and ensuring architectural decisions are carried through into implementationExcellent communication and influencing skills, including credibility with senior customer technical leaders, security teams and internal engineering stakeholdersHands-on technical judgement demonstrated through design validation, prototyping, implementation reviews or solving complex production architecture problemsPreferred QualificationsExperience architecting B2B enterprise platforms delivered into regulated customer environments, particularly banking, financial services or healthcareExperience with agentic AI systems, model and tool integration, runtime governance, AI security risks and frameworks such as NIST AI RMF or ISO/IEC 42001Experience evolving complex, tightly coupled deployments toward portable, composable or productised platform capabilitiesExperience across more than one of AWS, Azure or GCP, including customer-managed cloud and private connectivity modelsKnowledge of secure software supply chains, SBOMs, policy-as-code and automated control evidenceRelevant security qualifications such as CISSP or CCSP; practical experience and judgement take precedence over certificationMeasures of SuccessClear, adopted target-state architecture and decision-making standards for Atlas, with engineering implementation aligned to approved patternsA documented and validated platform security architecture, with prioritised control gaps and credible customer-facing assurance evidenceMeasurable reduction in avoidable deployment complexity, architectural exceptions and recurring customer security escalationsImproved confidence among enterprise customer technical and risk stakeholders in Atlas’s security, governance and operational model Future Secure AI Privacy PolicyAt 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). 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