Data Scientist / AI Engineer Job at Randstad (Brisbane)

Data Scientist / AI Engineer

Randstad

Location:
Australia , Brisbane

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Randstad is working with an exciting public sector client to find an experienced Data Scientist / AI Engineer for an initial 12 month contract with potential of extension. This role is based in Brisbane with WFH flexibility. Role Overview: Are you a hands-on AI practitioner with strong software engineering skills, passionate about building production-grade, agent-enabled AI systems at enterprise scale? We're looking for someone who enjoys designing and delivering intelligent systems that can reason, plan, use tools, and operate reliably in real-world environments! Join us as we transform how AI is designed, built, and deployed. In this applied role, you'll focus on delivering agent-based and LLM-enabled AI solutions on the Microsoft stack, including Azure and Microsoft AI Foundry. You will work deeply in code, applying strong software engineering and data science practices to turn complex business problems into safe, governed, scalable AI products that create real-world impact. This is a senior, hands-on individual contributor role, ideal for a Data Scientist (or AI Engineer) who wants to move beyond experimentation and deliver operational AI systems that drive measurable outcomes. You will be part of the central AI team and report to the AI Manager, working alongside engineers, data scientists, and business stakeholders.

Job Responsibility:

Design, build and maintain agentic AI solutions, including single and multi-agent systems using LLMs, tools, memory, and workflows
Build production-ready AI systems using sound data science and software engineering practices, including high-quality code, APIs, and integrations
Develop AI agents capable of reasoning, planning, tool use, and reflection, including interaction via governed tool interfaces and Model Context Protocol (MCP) style patterns
Deliver PoCs, pilots, and production solutions on the Microsoft stack (e.g. Azure, Microsoft AI Foundry), from ideation through to operational use
Translate complex business problems into agent-enabled solutions, defining success criteria and evaluation approaches and measurable outcomes
Contribute to AI safety, governance, and assurance, including evaluation of LLM outputs, monitoring, logging, and human-in-the-loop controls
Produce clear technical and non-technical documentation covering architecture, design decisions, trade-offs, risks, and outcomes

Requirements:

5+ years' experience across data science, machine learning, AI and/or software engineering roles
Strong hands-on coding experience in Python (and R where appropriate), including use of Git, CI/CD, and modern build and deployment practices
Practical experience building LLM-enabled systems, including prompt engineering, RAG, tool calling, MCP-based or equivalent agent-tool integration patterns, and agent frameworks
Experience designing and implementing agentic workflows, such as task decomposition, planning, memory management, and orchestration
Ability to create clean abstractions and reusable components using sound software design patterns suitable for production environments
Strong debugging and problem-solving skills, with the ability to trace complex behaviours across data, models, agents, and external systems
Demonstrated ability to translate complex business problems into well-structured AI or analytics solutions, from concept through to delivery
Experience building end-to-end AI/ML systems using cloud and data platforms (e.g. Azure ML, VMs, APIs, data stores), including deployment and monitoring
Experience working with structured and unstructured data across multiple formats (SQL, CSV, JSON, APIs, documents, logs, etc.)
Strong documentation and communication skills, able to engage stakeholders with varying levels of technical literacy
Ability to independently decompose large, ambiguous problems and deliver outcomes using creativity, experimentation, and sound engineering judgement
Tertiary qualifications in Computer Science, Software Engineering, Data Science, Informatics, or a related discipline (or equivalent experience)

What we offer:

Access to a Udemy license for ongoing learning and continuous professional development
Access to exclusive discounts across various platforms
Discounts on private health funds
3 payruns a week

Additional Information:

Job Posted:
May 03, 2026

Expiration:
May 13, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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