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-timeCanberra • AustraliaSenior💰 A$140 - A$160 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining AI architecture strategies, ensuring secure and scalable solutions while adhering to governance and regulatory standards. Proven ability to collaborate across multidisciplinary teams and provide architecture assurance to senior stakeholders.

Highest-signal resume keywords

AI Architecture DevelopmentEnterprise Architecture PracticesAI Security and AssuranceMachine Learning OperationsStakeholder Communication and Influence

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI SDLC PracticesGenerative AILarge Language ModelsMachine LearningRetrieval-Augmented GenerationArchitecture PatternsCyber Security AnalysisRisk ManagementData Readiness AssessmentCost-Effective Solution Design

Soft Skills

NegotiationInfluencingProblem SolvingCollaborationAmbiguity Resolution

Tools & Technologies

AI PlatformsAI ModelsArchitecture Governance ToolsMonitoring ToolsService Management Tools

Certifications & Qualifications

Architecture CertificationsInformation Technology CertificationsArtificial Intelligence CertificationsMachine Learning CertificationsCyber Security Certifications

Industry Keywords

Government RegulationsComplex EnvironmentsPublic ValueVendor DependencyAI Lifecycle 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
Provide 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, including generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies
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 teams
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
Demonstrated ability to analyse complex business issues within the cyber security domain and deliver pragmatic, risk-based recommendations
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, collaborating across multidisciplinary teams and transferring knowledge
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
Experience delivering AI architecture within the Australian Government or another large, complex and highly regulated environment would be desirable
Experience developing AI strategies, target-state architectures, investment roadmaps and platform or product evaluations would be desirable
Experience progressing AI capabilities beyond proof of concept into secure, monitored and scalable production services would be desirable

Benefits

Comp & perks

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