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-timeAdelaide • 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 secure and scalable solutions while providing architecture assurance and guidance to senior stakeholders. Proficient in translating complex business and technical requirements into effective AI architectures within regulated environments.

Highest-signal resume keywords

Active Baseline Security ClearanceEnterprise And Solution Architecture PracticesAI Security And AssuranceAI SDLC PracticesGenerative AI And Large Language Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Architecture DevelopmentAI Lifecycle ManagementMachine Learning OperationsModel MonitoringRisk ManagementArchitecture Patterns And ControlsDecision Records ProductionImplementation GuidanceData Readiness AssessmentCost And Performance Evaluation

Soft Skills

CommunicationNegotiationInfluencing StakeholdersCollaborationProblem Solving

Certifications & Qualifications

Relevant Tertiary QualificationsRecognised Certifications

Industry Keywords

Cyber Security DomainGovernment RegulationsPublic ValueInteroperabilityVendor DependencyComplex EnvironmentsService DeliveryGovernance ObligationsAmbiguity ResolutionKnowledge Transfer

Tech Stack

Tools & technologies

Cyber 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 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 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
Demonstrated ability to analyse complex business issues within the cyber security domain, deliver pragmatic risk-based recommendations, influence stakeholders, collaborate across multidisciplinary teams and transfer knowledge to APS personnel
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
Relevant tertiary qualifications or recognised certifications are advantageous
Updated CV of maximum 3–5 pages
Responses to essential and desirable criteria, no more than 5000 characters for each response

Benefits

Comp & perks

Hybrid work-from-home arrangement considered after the first 6 weeks, usually with a minimum of 2 days per week onsite from the capital city location
Contract extensions up to a maximum of 24 months