Agentic AI ArchitectureDesign and implement production-grade agentic systems using models such as Claude. Agent orchestration, tool calling, function calling, multi-agent architectures, planning and task decomposition, agent memory, context management, state machines and workflow engines, long-running agents, human-in-the-loop systems, autonomous execution, recovery and retry mechanisms, observability, and evaluation. You understand the difference between LLM → Agent → Workflow → Autonomous System, and when each is appropriate.
Agentic Loops & Self-OptimizationA major part of the role is building closed-loop systems: Goal → Plan → Execute → Observe → Evaluate → Learn → Re-plan → Execute. Systems that evaluate their own outputs, detect failed actions, identify root causes, adjust strategies, optimize prompts and tool selection, keep what works, roll back what does not, and improve over time. Reflection, critique, self-evaluation, feedback loops, reward signals, evaluation frameworks, automated experimentation, memory, retrieval, state management.
Claude / LLM EngineeringDeep practical experience with Claude/Anthropic APIs is highly desirable. Tool use, structured outputs, streaming, context management, prompt engineering, system prompts, long-context workflows, model routing, token optimization, latency and cost optimization, context compression, agent memory, LLM evaluation. Experience with other frontier models (OpenAI, Gemini, Llama or equivalent) is a plus.
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The team develops innovative data-sharing solutions that help financial institutions make faster, more informed lending decisions through Australia's Consumer Data Right (CDR) framework, empowering lenders, brokers, and fintechs to instantly verify income, assess affordability, and accelerate lending decisions. As part of this innovative and fast-growing business unit, you'll contribute to building and enhancing solutions that simplify access to trusted financial data, improve customer experiences, and drive the future of Open Banking.
What you'll need to bring to the role & Experian
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
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Partner with Product Owners, Architects, and cross-functional teams to design, build, and deliver high-quality software solutions.
Design, develop, test, and deploy software using technologies such as React, Angular, Java, JavaScript, AWS, Docker, Kubernetes, Jenkins, Terraform, Git, PostgreSQL, Maven, Gradle, and related tools.
Write clean, efficient, and reliable code that meets performance, security, and quality standards.
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Build Route to Market solutions that transform clients’ distribution business model.
Design, set-up, and test prototype and production Route to Market Agentic AI solutions and ensure that all the pieces work together seamlessly.
Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Route to market offerings powered by Accenture.
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Partner with Product Owners, Architects, and cross-functional teams to design, build, and deliver high-quality software solutions.
Design, develop, test, and deploy software using technologies such as React, Angular, Java, JavaScript, AWS, Docker, Kubernetes, Jenkins, Terraform, Git, PostgreSQL, Maven, Gradle, and related tools.
Write clean, efficient, and reliable code that meets performance, security, and quality standards.
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