Artificial Intelligence

• Own the moment where cutting-edge AI becomes real-world results
• Lead customer deployments end-to-end, turning ambitious AI initiatives into live, adopted solutions
• Ensure deployments run smoothly, on time, and against clearly defined success metrics
• Provide clarity, structure, and momentum to complex initiatives

AI Deployment Manager

• Managing change initiatives and transformations
• Collaborating with teams to implement new processes
• Engaging with various stakeholders to ensure smooth transitions

Change Manager, AI Business Transformation – Senior Associate

• Drive the commercial success of the Red Hat AI portfolio within the Australia & New Zealand markets.
• Help enterprises bridge the "AI Gap", moving from disconnected experimentation to scalable, production-grade reality.
• Own the technical close and orchestrate the sales strategy with technical architecture resources, partner ecosystems, and account teams.
• Provide customers with unique insights that challenge proprietary lock-in and lead the narrative on Digital Sovereignty.
• Translate complex AI infrastructure into a "Business Value" narrative and demonstrate how Red Hat AI reduces Total Cost of Ownership (TCO).
• Define the AI-specific strategy within the Global Account Plan to position Red Hat as the platform of choice.

AI Sales Specialist, ANZ

• Lead the design and approval of new Identity for AI controls, including defining control purpose, scope, objectives, criteria and supporting governance artefacts.
• Deliver the control and requirements outcomes for a strategic Risk Management Declaration (RMD) commitment, ensuring milestones are achieved through established governance processes.
• Partner with Enterprise Architecture and technology delivery teams to understand emerging AI identity capabilities and ensure control requirements evolve in parallel with solution design.
• Translate complex technical concepts—including AI agent identities, authentication, authorisation, lifecycle management and delegated access—into clear risk statements, standards, guidance and control requirements.
• Navigate complex stakeholder environments to build consensus across Cyber Security, Technology, Risk, Architecture and AI delivery teams.
• Lead the closure of associated RiS issues by coordinating evidence collection, demonstrating control uplift and obtaining endorsement from applicable risk and assurance stakeholders.
• Support the development of Identity for AI standards and guidance to enable consistent implementation across the Group.
• Educate stakeholders on emerging AI identity risks and the importance of a robust control environment.

Control Manager, Identity for AI

• Develop and deliver change strategies for transformation programs, with a focus on people experience and adoption.
• Execute change activities across workstreams, including stakeholder engagement, communications, training, and adoption support.
• Translate program objectives into clear, actionable change plans that align to business priorities.
• Develop and deliver people engagement and training materials and sessions that build capability across impacted teams.
• Develop and deliver project communications plans that are clear, concise, and aligned to corporate affairs standards.
• Identify risks, issues, and dependencies that may impact adoption, and escalate appropriately with recommended mitigations.
• Prepare briefing materials, talking points, and recommendations for senior leaders and sponsors to support informed decision-making.
• Build and maintain effective stakeholder relationships through reliability, clear communication, and consistent follow-through.
• Coordinate change activity across strategy, design, and implementation phases, ensuring alignment and sequencing of dependencies.
• Contribute to building change capability within the program, supporting sustainable and repeatable practices.
• Collaborate with teams and stakeholders to maintain trust, transparency, and momentum throughout delivery.

Change Manager – AI Business Transformation

• Owning the strategic direction and value narrative of engagements from discovery through delivery and adoption
• Building and sustaining strong client relationships through ongoing engagement, credibility, and demonstrated impact
• Working in close partnership with a Client Principal, who owns the overarching client relationship, while leading the day-to-day direction and execution of engagements
• Operating as part of a senior engagement leadership triad alongside Technology and Commercial leads
• Providing senior oversight to Delivery Leads on larger or more complex engagements
• Maintaining continuous, high-quality dialogue with clients throughout delivery, ensuring alignment, confidence, and momentum
• Leading executive discovery, alignment, and decision-making workshops
• Defining, drafting, and presenting strategies, approaches, and recommendations for clients
• Translating business intent into clear priorities and guidance for technical and delivery teams
• Actively driving non-technical success factors, including change management, adoption, and stakeholder alignment
• Contributing actively to pre-sales and sales processes, including understanding client needs, shaping solutions, and supporting the development of compelling proposals
• Supporting client-shaping conversations that progress opportunities from early signal through to secured engagements
• Identifying opportunities to grow engagements, expand scope, and shape follow-on work
• Developing, refining, and part-owning specific go-to-market propositions, offers, and methods, and applying them consistently across client engagements

Director, Consulting – Value Lead, Data, AI & Software

• Design and implement the underlying multi-agent orchestration framework, integrations, and governed AI capabilities
• Write repeatable, maintainable code
• Establish best practices with your manager
• Enable a broader internal community of AI Orchestration Engineers through 1:1 training, peer mentoring, workshops, and showcases

AI Orchestration Engineer

• Defining and leading the creative strategy for Canva's photography and video content - ensuring we're building a library that's diverse, on-trend, and genuinely useful for our users
• Driving AI-first approaches to content production: using AI to generate, enrich, tag, and scale photo and video assets that would take years to produce by hand
• Partnering with Content Studio's production teams, engineers, and product managers to build tooling and workflows that unlock content creation at scale
• Setting quality standards and creative direction across photography and video - commissioning shoots, reviewing assets, and ensuring every piece meets the Canva bar
• Contributing to Canva's AI Template Marketplace goals, where photo and video content is a critical ingredient in making templates come alive
• Coaching and leading a team of photographers, videographers, and content producers to do the best work of their careers

AI Photography & Videography Lead

• Coordinating delivery of AI learning activity across employees and leaders, ensuring alignment to timelines and expectations
• Acting as a key point of contact for learner support, helping troubleshoot issues and drive engagement
• Supporting the rollout and ongoing management of learning interventions
• Contributing to broader change and adoption activity, linking learning to AI capability uplift and workforce readiness
• Translating AI learning into clear, practical guidance for teams and leaders to embed into day-to-day work
• Maintain and update AI learning content and support materials, ensuring resources remain relevant, simple and easy to use
• Work closely with stakeholders and business communities to reinforce learning, build confidence and encourage practical use of AI
• Tracking and reporting on engagement, completion and barriers, using insights to continuously improve the experience

AI Change & Learning Specialist

• Design, build, and operationalize agentic AI solutions in production.
• Lead technical discovery and translate business problems into engineering deliverables.
• Write production-grade code and work within enterprise release governance.
• Build evaluation suites for production observability and integrate solutions with client identity.
• Stay engaged through production iteration cycles and provide support documentation.

Forward Deployed Engineer, Agentic AI

• You’ll be involved in a mix of technical delivery, AI development, and problem solving, including:
• Build visual workflow and routing solutions
• Connect systems via APIs and map data between platforms
• Develop serverless functions using JavaScript/Node.js or Python
• Design and refine conversational flows for virtual agents in a CX (Customer Experience) environment.
• Train intent models and support natural language understanding (NLU)
• Create and optimise prompts for AI-driven experiences
• Ingest and structure knowledge base content for AI Agent use
• Conduct functional and integration testing
• Troubleshoot issues and continuously improve solutions

Graduate AI, CX Engineer

• Own and deliver change strategies for major transformation programs, designed around people experience and adoption.
• Lead change activity across multiple workstreams end to end, covering stakeholder engagement, communications, training and adoption.
• Translate program objectives into practical, sequenced change plans that align to business priorities and can be executed.
• Design and deliver training plans that build genuine capability across impacted teams.
• Developing project communication plan and write project communications that are clear, effective and aligned to corporate affairs standards.
• Identify risks, issues and dependencies that threaten adoption early, escalate where needed and own the mitigations.
• Prepare senior leaders and sponsors with the insights, materials and recommendations they need to make decisions and show up credibly.
• Manage the integration of change activity across strategy, design and implementation phases, keeping dependencies and sequencing tight.
• Build change capability across the program, raising the bar and embedding sustainable practice.
• Build and maintain strong, trusted relationships with stakeholders and teams through collaboration, credibility, and consistent delivery.

Senior Change Manager – AI Business Transformation

• Deliver high-quality, engaging workshops and training sessions for corporate learners on OpenAI Codex, frontier models, AI-assisted software development, prompt engineering, and agentic workflows.
• Teach learners how to use Codex across practical workflows, including reading and understanding codebases, generating and editing code, debugging, writing tests, reviewing pull requests, working through IDE or CLI-based workflows, and delegating coding tasks to cloud agents.
• Introduce learners to OpenAI’s frontier model ecosystem, including the Responses API, reasoning models, multimodal capabilities, tool use, function calling, file search, web search, structured outputs, and agent-based application patterns.
• Lead training sessions with confidence for mixed audiences, including software engineers, business users, product managers, operations teams, and senior leaders.
• Adapt training examples, exercises, case studies, and demos to suit each client’s industry, technical maturity, business objectives, and internal workflows.
• Build and deliver live demonstrations showing how AI tools can support real work, such as code review, bug fixing, technical documentation, data analysis, workflow automation, knowledge retrieval, and AI-assisted product development.
• Work with Skills Union and client stakeholders to understand training needs, learner profiles, adoption barriers, and desired business outcomes before and during delivery.
• Guide learners through hands-on activities, troubleshoot common setup or workflow issues, and help participants build confidence using AI tools responsibly and effectively.
• Evaluate learner progress through exercises, projects, reflections, and feedback. Provide clear recommendations for continued adoption after training.
• Teach practical considerations around data privacy, security, intellectual property, human review, hallucination risk, model limitations, and responsible enterprise deployment.
• Stay current with OpenAI product updates, Codex capabilities, frontier model releases, and AI adoption practices.

Artificial Intelligence jobs in Australia

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