The Senior Artificial Intelligence (AI) Architect provides enterprise level architecture leadership for the agency’s adoption of AI, shaping strategy and delivering secure, scalable and responsible solutions aligned with business priorities.
Locations (6)
Brisbane, Queensland, Australia
Perth, Western Australia, Australia
Canberra, Australian Capital Territory, Australia
Melbourne, Victoria, Australia
Sydney, New South Wales, Australia
Adelaide, South Australia, Australia
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.
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
Design, scale, and modernize the learning infrastructure for short-term rental operations and executive functions using generative AI and instructional design principles.
Locations (5)
United Kingdom
Mexico
Brazil
Argentina
Chile
Compensation
Competitive compensation, paid twice a month - dependent on experience & location
Senior HR Knowledge Product Manager leading strategic initiatives to improve HR knowledge management and employee self‑service experiences.
Compensation
The base salary range for this role is $141,000 - $225,000.00.
Responsibilities
Lead execution and continuous improvement of the HR knowledge management roadmap
Develop and maintain governance standards, content guidelines, metadata practices, taxonomy, and lifecycle processes
Partner with HR Centers of Excellence, Product, Engineering, Legal, Compliance, and Communications to implement knowledge management capabilities
Translate business requirements into platform enhancements, workflows, search improvements, virtual agent capabilities, and AI‑enabled knowledge solutions
Establish and monitor operational metrics, including knowledge health, search effectiveness, content quality, self‑service resolution, and user satisfaction
Requirements
Bachelor's degree in Information Science, Communications, Human Resources, Business, Technology, or a related field
Design, build, integrate, deploy, and optimize AI-enabled solutions, intelligent automation, and agentic systems across Financial Shared Services.
Compensation
€68,300 - €113,800
Responsibilities
Design and develop AI-enabled applications, intelligent automation workflows, and agentic systems supporting FSS operations and decision-making.
Translate business and process requirements into scalable technical architectures, solution designs, engineering plans, and production-ready capabilities.
Establish reusable design patterns, frameworks, components, coding practices, and technical standards for agent and automation development.
Build, configure, test, deploy, and enhance AI agents supporting workflows, operational processes, knowledge retrieval, intelligent routing, anomaly detection, and decision support.
Develop APIs, integrations, data pipelines, and orchestration capabilities connecting agents with enterprise systems, data sources, and workflow platforms.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, Engineering, or a related technical discipline
Nice to have: Master's degree in a related technical field
Support a major Social Media Generative AI project focused on content safety and quality by evaluating, annotating, and reviewing French-language content.
Responsibilities
Review and evaluate French-language content for a high-profile Social Media LLM platform
Perform data labeling, content safety checks, and qualitative feedback on AI model outputs
Make quick, accurate decisions based on project guidelines and safety standards
Work flexibly within a 24/7 rotational shift pattern
Requirements
Nice to have: B2+/C1 English
Nice to have: Prior experience in AI data annotation and evaluation platforms
Partner with operational SMEs to capture tacit knowledge and define learning objectives
Conduct needs assessments to pinpoint friction points in guest review scores, SLA compliance, and onboarding speed
Translate complex operational tasks into structured curriculum maps and learning journeys
Utilize generative AI tools to draft course outlines, script scenarios, build audio/video avatars, and generate contextual imagery
Design engaging multi-modal learning assets including e-learning modules, microlearning videos, quick-reference checklists, roleplay simulations, and digital job aids
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