Required skills
- Enterprise Architecture
- Solution Architecture
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
- Machine Learning
- Agentic AI
- MLOps
- LLMOps
- Architecture Governance
- Responsible AI
- AI Security
Languages: English
Job description
Project overview
Senior AI Architect | 12-Month Contract + Extensions | Multiple Locations
We are seeking an experienced Senior AI Architect to join a large federal government agency, providing enterprise-level architecture leadership to support the strategic adoption of Artificial Intelligence (AI).
This is an exciting opportunity to shape the future of AI across a complex enterprise environment, developing secure, scalable and responsible AI solutions that improve service delivery, workforce productivity and decision-making. You will play a key role in defining AI architecture strategies, establishing governance frameworks and guiding emerging AI technologies from experimentation through to production.
Your duties will include:
Skills and experience we are looking for:
Highly desirable:
Application Process
This role requires candidates to hold a current Australian Government Baseline security clearance.
Applicants will be required to submit an updated resume and a one-page pitch (maximum 5,000 characters) addressing the essential selection criteria.
Applications close: Wednesday, 18 November 2026.
If you would like to apply, please contact Mikayla Reber.
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- 12-month contract with extension options of up to 24 months
- Locations: Canberra, Sydney, Melbourne, Brisbane, Adelaide or Perth
- Hybrid working arrangements
- initial 6 weeks onsite, with flexibility thereafter subject to approval
- Must hold a current Australian Government Baseline security clearance
- Opportunity to lead enterprise AI architecture, Generative AI, LLMs and responsible AI adoption across a major federal government environment
- Develop and maintain enterprise AI architecture strategies, target-state architectures, reference architectures, reusable patterns and technology roadmaps.
- Design secure, scalable and resilient AI solutions aligned with enterprise architecture, business priorities and operational requirements.
- Define architecture standards, governance controls and implementation patterns for Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning and Agentic AI.
- Evaluate AI platforms, models, tools and vendors against technical feasibility, security, performance, cost, risk and business value.
- Establish responsible AI architecture principles covering privacy, cyber security, data governance, human oversight, auditability and model risk.
- Provide architectural assurance, technical recommendations and strategic advice to senior executives, governance forums and multidisciplinary delivery teams.
- Support organisational AI capability uplift through mentoring, workshops, technical documentation and knowledge transfer.
- Demonstrated experience designing and delivering enterprise-scale AI architectures within large, complex technology environments.
- Strong expertise in enterprise and solution architecture, including AI strategies, platform architectures, reference designs, integration patterns and architecture governance.
- Hands-on knowledge of Generative AI, LLMs, RAG, Machine Learning, Agentic AI and AI lifecycle management.
- Experience designing secure, scalable and production-ready AI solutions across cloud, data, applications, infrastructure and enterprise integration environments.
- Strong understanding of AI security, responsible AI, privacy, regulatory compliance, model governance and technology risk management.
- Experience with AI development and operational practices, including MLOps, LLMOps, model monitoring, testing, optimisation and production support.
- Excellent stakeholder engagement, communication and influencing skills, with the ability to provide clear architectural advice to senior executives and technical teams.
- Experience delivering enterprise AI architecture within Australian Government or similarly complex, highly regulated environments.
- Experience developing AI investment roadmaps, target-state architectures and platform evaluations considering cost, risk, feasibility and business value.
- Proven experience transitioning AI solutions from proof of concept into secure, scalable and monitored production environments.
- Relevant tertiary qualifications or professional certifications in enterprise architecture, AI, machine learning, computer science, cloud, engineering or cyber security.
Project details
- Start: 01/01/2027
- Duration: 12 months
- Remote: hybrid
- Location: Australian Capital Territory, AU
- Languages: English
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