{"id":3949797,"url":"https://alion.io/job/apply-flow-senior-ai-architect","title":"Senior AI Architect","company":{"id":2473880,"name":"Apply Flow","domain":"applyflow.com","url":"https://alion.io/company/applyflow","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Melbourne, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140,"max":160,"currency":"AUD","period":"hour","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-11-08T22:58:24Z","employer_posted_date":"2026-11-08","last_verified_at":"2026-11-09T01:39:21Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Application closing date: Friday, 20 November 2026\n11:59pm, Canberra time\nEstimated start date: Monday, 11 January 2027\nLocation of work: VIC\nWorking arrangements: Full-time onsite for the first 6 weeks. A hybrid WFH arrangement, usually a minimum of 2 days per week onsite, will be considered from the location of their capital city.\nLength of contract: 12 months\nContract extensions: Up to a maximum of 24 months\nSecurity clearance: Must have an active Baseline clearance\nRates: $140 - $160 per hour (inc. super)\nServices Australia is at the frontline of government service delivery, supporting millions of Australians, and is front and centre of a vision to be a world leader in government service delivery. It’s using cutting-edge technology to build world class platforms and capabilities to help Australians get on with their lives.\nThe Senior Artificial Intelligence (AI) Architect provides enterprise level architecture leadership for the agency’s adoption of AI. The role shapes AI architecture strategy and delivers secure, scalable and responsible architecture solutions aligned with business priorities and enterprise architecture.\nThe role translates requirements and operational needs into practical AI capabilities, establishes reusable patterns and governance, and guides integration across data, technology and business processes. It supports improved service delivery, workforce productivity and decision-making while reducing implementation risk and enabling safe, sustainable AI adoption at scale.\nKey duties and responsibilities:\nDevelop and maintain the agency’s AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps.\nTranslate business, policy, service delivery and ICT requirements into secure, scalable, resilient and supportable end-to-end AI architectures, supported by clear options, decision records and implementation guidance.\nAssess AI opportunities, platforms, models and tools against strategic alignment, business and public value, feasibility, data readiness, interoperability, cost, risk, performance, supportability and vendor dependency.\nDefine and assure architecture patterns, guardrails and controls across the AI lifecycle for generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies.\nProvide architecture assurance and clear advice on options, trade-offs and risks to senior stakeholders and governance forums, collaborating across business, architecture, data, cyber security, privacy, legal, procurement, delivery and operations.\nBuild APS capability through mentoring, workshops, architecture walkthroughs, reusable guidance, templates and structured knowledge transfer.\nKnowledge / Qualifications required:\nStrong knowledge across enterprise and solution architecture practices, methods and governance applicable to large, complex organisations.\nStrong knowledge across enterprise and solution architecture practices, methods and governance applicable to large, complex organisations.\nStrong knowledge of AI security, assurance, privacy, governance and regulatory obligations relevant to government and regulated environments.\nStrong knowledge of AI SDLC practices and the architecture, engineering and governance considerations required to transition AI solutions from experimentation through to production\nUnderstanding of contemporary AI delivery and operations, including machine learning operations, large language model operations, agentic, model monitoring, service management and technology risk management.\nAbility to communicate, negotiate and influence effectively with executives, governance bodies, technical specialists, delivery teams and business stakeholders.\nAbility to work through ambiguity, resolve competing priorities and provide clear, evidence-based architecture recommendations.\nRelevant 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.\nTechnical skills required:\nAbility to develop AI strategies, roadmaps, reference, platform and AI security architectures, reusable patterns, options assessments and architecture decision records.\nAbility to define, support and assure responsible AI, privacy, security, data governance, human oversight, auditability and model-risk controls.\nAbility to evaluate AI platforms, models, tools and vendors against business needs, technical feasibility, interoperability, performance, cost, supportability and value for money.\nAbility to define and assure non-functional requirements for AI services, including availability, resilience, capacity, latency, observability, maintainability and disaster recovery.\nEssential criteria\nDemonstrated 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.\nEnterprise AI architecture and solution design: Demonstrated experience developing enterprise-scale, end-to-end AI architectures in complex environments, including architecture strategies, roadmaps, platform and reference architectures, patterns and decision records across data, models, applications, integration, cloud, infrastructure, cyber security and operations.\nAI technology and lifecycle architecture: Demonstrated applied knowledge of generative AI, large language models, machine learning, retrieval-augmented generation, agentic and AI lifecycle management, including evaluation, implementation, testing, monitoring, optimisation and operational support.\nSecure, responsible and risk-based and resilient AI design: Demonstrated ability to design secure, scalable, resilient, supportable and cost-effective AI solutions aligned with enterprise architecture, cyber security, privacy, responsible AI, performance, availability and operational requirements. Responses should include evidence of evaluating options, risks, trade-offs and controls.\nArchitecture leadership, communication and capability transfer: Demonstrated experience providing clear architecture advice to senior stakeholders and governance forums, influencing decisions, collaborating across multidisciplinary teams and transferring knowledge through documented artefacts, workshops, mentoring, reusable methods and templates.\nDesirable criteria\nExperience delivering AI architecture within the Australian Government or another large, complex and highly regulated environment or industry.\nExperience developing AI strategies, target-state architectures, investment roadmaps and platform or product evaluations that consider feasibility, benefits, cost, risk and public value.\nExperience progressing AI capabilities beyond proof of concept into secure, monitored and scalable production services.\nRelevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security.\nHOW TO APPLY\nPlease provide an updated CV (a maximum of 3-5 pages) to reflect your suitability to the role based on the job description. You will also need to complete responses to the essential and desirable criteria which is no more than 5000 characters for each response. 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