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Lead enterprise AI architecture for Australian Government agency, shaping strategy, governance, and secure, scalable solutions.

Compensation

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

Responsibilities

Develop and maintain 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.
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.

Requirements

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

Skills

Develop AI strategies, roadmaps, reference, platform and AI security architectures Define, support and assure responsible AI, privacy, security, data governance, human oversight, auditability and model-risk controls Evaluate AI platforms, models, tools and vendors against business needs, technical feasibility, interoperability, performance, cost, supportability and value for money Define and assure non-functional requirements for AI services including availability, resilience, capacity, latency, observability, maintainability and disaster recovery

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