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Senior AI Architect

Compas Pty LtdCanberra, Australian Capital Territory🇦🇺Australia

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationCanberra, Australian Capital Territory, Australia
Stakeholder ManagementGenerative AIMachine LearningRAG

Job description

Job Title
Senior AI Architect Enterprise AI & Generative AI
Lead enterprise AI architecture strategy and solution design within a complex Australian Government environment. Shape secure, scalable and responsible AI solutions across Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and machine learning, with a focus on enterprise integration, governance and production readiness.

Location
ACT, NSW, VIC, QLD or SA

Contract Duration: Up to 12 months with extension options

Security Clearance Requirement: Current Baseline clearance

Closing Date: 10:00am Friday, 20 November 2026

Essential Tasks
  • Develop enterprise AI architecture strategies, target-state architectures, reference models, reusable patterns and implementation roadmaps.
  • Design secure, scalable AI solutions incorporating Generative AI, LLMs, RAG, machine learning and intelligent automation.
  • Evaluate AI platforms, models and technologies, establishing architecture standards, governance controls and responsible AI practices.
  • Provide architecture assurance, advise senior stakeholders on technical options and risks, and build organisational capability through mentoring and knowledge transfer
Key Criteria
  • Demonstrated experience designing enterprise-scale AI architectures, strategies and roadmaps across complex ICT environments.
  • Strong applied knowledge of Generative AI, LLMs, RAG, machine learning, agentic AI and AI lifecycle management.
  • Proven ability to design secure, resilient and production-ready AI solutions incorporating cyber security, privacy, governance and risk controls.
  • Strong architecture leadership, stakeholder engagement and communication skills, with experience influencing technical decisions and transferring knowledge across multidisciplinary teams.

Due to the nature of this environment, candidates must hold a current Baseline clearance.

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