Senior AI Architect

CYOS Solutions

. Develop and maintain the agency’s AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps .

Posted 11/8/2026full-timeMelbourne • AustraliaSenior💰 A$140 - A$160 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining AI architecture strategies, ensuring compliance with security, privacy, and governance standards. Capable of translating complex business and technical requirements into scalable and resilient AI solutions while providing architecture assurance and guidance to stakeholders.

Highest-signal resume keywords

AI Architecture DevelopmentEnterprise Architecture PracticesAI Security and GovernanceAI SDLC PracticesStakeholder Communication and Influence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ArchitectureMachine Learning OperationsLarge Language ModelsAI Lifecycle ManagementArchitecture Decision RecordsNon-Functional Requirements DefinitionAI Strategy DevelopmentRisk ManagementData GovernanceModel Monitoring

Soft Skills

Effective CommunicationNegotiationInfluencingProblem SolvingCollaboration

Certifications & Qualifications

Baseline Security ClearanceTertiary Qualifications in ArchitectureTertiary Qualifications in Information TechnologyTertiary Qualifications in Artificial IntelligenceTertiary Qualifications in Machine LearningTertiary Qualifications in Data ScienceTertiary Qualifications in Cyber Security

Industry Keywords

Government RegulationsComplex EnvironmentsPublic ValueInteroperabilityVendor DependencyCost-EffectivenessAuditabilityHuman OversightDisaster RecoveryService Management

Tech Stack

Tools & technologies

CloudCyber SecuritySDLC

About the role

Key responsibilities & impact

Develop and maintain the agency’s AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps
Translate business, policy, service delivery and ICT requirements into secure, scalable, resilient and supportable end-to-end AI architectures
Produce clear options, decision records and implementation guidance
Assess AI opportunities, platforms, models and tools against strategic alignment, public value, feasibility, data readiness, interoperability, cost, risk, performance, supportability and vendor dependency
Define and assure architecture patterns, guardrails and controls across the AI lifecycle
Provide architecture assurance and advice on options, trade-offs and risks to senior stakeholders and governance forums
Collaborate across business, architecture, data, cyber security, privacy, legal, procurement, delivery and operations
Build APS capability through mentoring, workshops, architecture walkthroughs, reusable guidance, templates and structured knowledge transfer

Requirements

What you’ll need

Must have an active Baseline security clearance
Strong knowledge of enterprise and solution architecture practices, methods and governance applicable to large, complex organisations
Strong knowledge of AI security, assurance, privacy, governance and regulatory obligations relevant to government and regulated environments
Strong knowledge of AI SDLC practices and architecture, engineering and governance considerations for transitioning AI solutions from experimentation to production
Understanding of contemporary AI delivery and operations, including machine learning operations, large language model operations, agentic AI, model monitoring, service management and technology risk management
Ability to communicate, negotiate and influence effectively with executives, governance bodies, technical specialists, delivery teams and business stakeholders
Ability to work through ambiguity, resolve competing priorities and provide clear, evidence-based architecture recommendations
Ability to develop AI strategies, roadmaps, reference, platform and AI security architectures, reusable patterns, options assessments and architecture decision records
Ability to define, support and assure responsible AI, privacy, security, data governance, human oversight, auditability and model-risk controls
Ability to evaluate AI platforms, models, tools and vendors against business needs, technical feasibility, interoperability, performance, cost, supportability and value for money
Ability to define and assure non-functional requirements for AI services, including availability, resilience, capacity, latency, observability, maintainability and disaster recovery
Demonstrated experience developing enterprise-scale, end-to-end AI architectures in complex environments
Demonstrated applied knowledge of generative AI, large language models, machine learning, retrieval-augmented generation, agentic AI and AI lifecycle management
Demonstrated ability to design secure, scalable, resilient, supportable and cost-effective AI solutions
Demonstrated experience providing architecture advice to senior stakeholders and governance forums, influencing decisions, collaborating across multidisciplinary teams and transferring knowledge
Experience delivering AI architecture within the Australian Government or another large, complex and highly regulated environment or industry is desirable
Experience developing AI strategies, target-state architectures, investment roadmaps and platform or product evaluations is desirable
Experience progressing AI capabilities beyond proof of concept into secure, monitored and scalable production services is desirable
Relevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security would be advantageous

Benefits

Comp & perks

Hybrid WFH arrangement considered after the first 6 weeks, usually with a minimum of 2 days per week onsite
Contract extensions up to a maximum of 24 months