Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 1 hour agoWe saw it 33 min after it went up

Senior AI Architect

CYOS Solutions4 open roles

Where
Melbourne, Victoria, Australia, Remote
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior AI ArchitectCYOS Solutions · Melbourne, Victoria, Australia, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on CYOS Solutions's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. CYOS Solutions postings stay open a median of 9 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.2%30 days
  6. 59.1%60 days
This job: posted 1 hour ago

CYOS Solutions median: 9 days open

The posting

Application closing date: Friday, 20 November 2026 • 11:59pm, Canberra time

Estimated start date: Monday, 11 January 2027

Location of work: VIC

Working 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.

Length of contract: 12 months

Contract extensions: Up to a maximum of 24 months

Security clearance: Must have an active Baseline clearance

Rates: $140 - $160 per hour (inc. super)

Services 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.

The 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.

The 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.

Key duties and responsibilities:

  • 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, supported by clear options, decision records and implementation guidance.
  • Assess AI opportunities, platforms, models and tools against strategic alignment, business and 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 for generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies.
  • Provide 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.
  • Build APS capability through mentoring, workshops, architecture walkthroughs, reusable guidance, templates and structured knowledge transfer.

Knowledge / Qualifications required:

  • Strong knowledge across enterprise and solution architecture practices, methods and governance applicable to large, complex organisations.
  • Strong knowledge across 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 the architecture, engineering and governance considerations required to transition AI solutions from experimentation through to production
  • Understanding of contemporary AI delivery and operations, including machine learning operations, large language model operations, agentic, 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.
  • 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.

Technical skills required:

  • 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.

Essential criteria

  1. 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.
  2. Enterprise 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.
  3. AI 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.
  4. Secure, 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.
  5. Architecture 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.

Desirable criteria

  1. Experience delivering AI architecture within the Australian Government or another large, complex and highly regulated environment or industry.
  2. Experience developing AI strategies, target-state architectures, investment roadmaps and platform or product evaluations that consider feasibility, benefits, cost, risk and public value.
  3. Experience progressing AI capabilities beyond proof of concept into secure, monitored and scalable production services.
  4. Relevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security.

HOW TO APPLY

Please 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. Your application will be reviewed based on ability to demonstrate, or potential to develop, the capabilities required.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against CYOS Solutions's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on CYOS Solutions's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    CYOS Solutions's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.