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 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 Responsibilities

Platform & 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 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 Assurance

Lead or co-chair technical reviews within the Architecture Review Board, establish decision thresholds, and document significant decisions using architecture decision records and reference architectures
Work directly with principal engineers to validate designs through prototypes, implementation reviews, acceptance criteria and production feedback; detect and resolve architectural drift
Maintain a visible architecture runway and prioritised register of architectural risks, technical debt, exceptions and capability gaps in partnership with Product and Engineering
Create practical 101/201/301-level technical architecture materials that explain Atlas’s differentiated capabilities, trust model and supported deployment patterns to different customer audiences

Customer & Cross-Functional Technical Leadership

Act 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 adoption
Partner with Delivery and solution architects on repeatable enterprise patterns and exception handling; distinguish reusable platform requirements from customer-specific solutions
Influence Engineering, Product, Applied Science and executive stakeholders through clear options, evidence, trade-offs and recommendations, rather than design mandates alone
Mentor architects and principal engineers, improve architecture practices and help identify capability gaps; exercise technical leadership without default line management of platform engineering teams

Minimum Qualifications

10+ years in software/platform architecture or senior engineering roles, with substantial technical architecture leadership in enterprise products or distributed systems
Demonstrated 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 design
Practical experience translating regulated-enterprise control or assurance requirements into implementable technical architecture, with direct participation in customer security reviews and/or external assurance activities
Strong knowledge of cloud-native and distributed-system architectures, including orchestration, asynchronous processing, resilience, observability and operational lifecycle management
Ability 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 required
Experience establishing architecture standards, reviewing complex technical designs and ensuring architectural decisions are carried through into implementation
Excellent communication and influencing skills, including credibility with senior customer technical leaders, security teams and internal engineering stakeholders
Hands-on technical judgement demonstrated through design validation, prototyping, implementation reviews or solving complex production architecture problems

Preferred Qualifications

Experience architecting B2B enterprise platforms delivered into regulated customer environments, particularly banking, financial services or healthcare
Experience with agentic AI systems, model and tool integration, runtime governance, AI security risks and frameworks such as NIST AI RMF or ISO/IEC 42001
Experience evolving complex, tightly coupled deployments toward portable, composable or productised platform capabilities
Experience across more than one of AWS, Azure or GCP, including customer-managed cloud and private connectivity models
Knowledge of secure software supply chains, SBOMs, policy-as-code and automated control evidence
Relevant security qualifications such as CISSP or CCSP; practical experience and judgement take precedence over certification

Measures of Success

Clear, adopted target-state architecture and decision-making standards for Atlas, with engineering implementation aligned to approved patterns
A documented and validated platform security architecture, with prioritised control gaps and credible customer-facing assurance evidence
Measurable reduction in avoidable deployment complexity, architectural exceptions and recurring customer security escalations
Improved confidence among enterprise customer technical and risk stakeholders in Atlas’s security, governance and operational model

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