AI and Data Engineer
Melbourne - on the lands of the Kulin nation
Join us to build the tools that shape how Nous works in an AI-enabled future. This is a hands-on role building and maintaining AI enabled tools that help consultants produce better work faster.
Nous Group is an international management consultancy. We work with leaders across Australia, the United Kingdom and North America to solve their most complex challenges and navigate transformational change. We bring together multidisciplinary teams to partner with clients and develop practical solutions that deliver lasting impact for businesses, governments and communities.
Our purpose is positive influence. We are driven to improve people's lives by working with our clients to deliver outcomes that matter, strengthening organisations, supporting communities and realising a bigger idea of success.
About the role
You will join Data Futures, a small high performing multi-disciplinary team with a clear remit to build the infrastructure that supports this transformation. Nous is investing in expanding its AI and data transformation capability, and this role plays a central part to that effort.
This AI and Data Engineer will build and maintain AI-enabled tools and infrastructure that help consultants produce better work, faster. The role includes data engineering, developing connectors between AI and other systems and deploying new AI platforms. The AI and Data Engineer will be one of the team's main builders for custom AI tools, data pipelines, workflow automations and integrations.
The role is applied rather than research-oriented. Nous will use frontier models through API ecosystems such as Anthropic on AWS Bedrock and Azure OpenAI. The role focuses on making those models useful inside real consulting workflows, with retrieval, prompting, workflow design, data integration and evaluation.
What you'll do
- Build internal AI tools that support consulting workflows, including evidence synthesis, proposal review, knowledge retrieval, quality assurance and document production.
- Develop and maintain data pipelines that ensure consultants have cutting-edge data available for their projects.
- Develop connectors between AI and other systems to enable more effective workflows
- Prototype new AI applications with consulting teams, then use feedback and measurement to decide what should be stopped, improved or scaled.
- Maintain production AI tools, including monitoring, bug fixes, user support and iterative improvement.
- Integrate LLMs, retrieval systems, APIs, databases, and internal knowledge sources into secure, usable applications.
- Contribute to technical choices for Nous' product portfolio, including build-versus-buy decisions, architecture, deployment patterns, and evaluation methods.
- Work with other Nous team members and consulting teams so tools fit Nous' delivery standards, security requirements, and operating model.
What will help you succeed
- AI and data engineering experience, including hands-on delivery of working applications.
- Practical experience building with LLMs in production settings.
- Experience working with or developing AI connectors, preferably connectors that retrieve information from complex systems
- Demonstrated capability developing data pipelines between systems, preferably using Microsoft Fabric and/or Data Build Tool (DBT)
- Experience with LLM application patterns such as prompting, retrieval-augmented generation, embeddings, vector databases, tool use, function calling, and evaluation.
- Agentic engineering capability: able to use coding agents such as Claude Code, Codex, or similar tools to accelerate software delivery, including task scoping, prompt design, code review, testing, debugging, and integrating agent-generated changes into a maintainable codebase.
- Experience designing and building APIs and MCPs.
- Good engineering habits: version control, testing, code review, documentation, logging, and secure handling of data.
- Evidence of practical AI build work. This may include internal tools, side projects, open-source work, demos, prototypes, or shipped products.
- High agency. The AITT will be small, so the role needs someone who can take an unclear problem, shape it with users, build a working solution, and improve it after release.
You may also bring
- Experience with the Azure OpenAI API or AWS Bedrock ecosystems.
- Experience with cloud deployment, preferably Azure.
- Experience with CI/CD pipelines and infrastructure-as-code.
- Experience with Microsoft Fabric and Data Build Tool (DBT)
- Background in management consulting, professional services, or another environment where written judgement and client delivery standards matter.
- Experience building tools for knowledge work, document-heavy workflows, research, analysis, or decision support.
Why join
In this role, you will:
- Help build the infrastructure that underpins Nous' AI and data transformation.
- Work directly with consultants to create tools used in real engagements.
- Be part of a small, high performing team with a clear remit to build and deliver.
- Contribute to how AI is applied across the firm and see your work adopted and scaled.
- Continue to develop your capability in a fast moving space that values experimentation, learning and improvement.
Role boundaries
- The role will not focus on model training or AI research. Nous will use frontier models through APIs rather than train foundation models.
- The role will not own core IT infrastructure, information security, or legacy systems. It will work with IT where tools need deployment, integration, or security review.
- The role will not be a ticket-taking development role. The AI Engineer will work directly with users, test assumptions, and shape solutions.
- The role will not build isolated demos without a pathway to adoption, measurement, or reuse.
Finally, some important details...
Nous is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applications from people of all backgrounds, including Aboriginal and Torres Strait Islander people. Nous is a flexible workplace that offers consulting opportunities on a full-time and part-time basis.
If you have experience working on complex problems, are high performing and productive working in a fast-paced environment, and want to be part of a dynamic team that puts people at the centre of everything, then we'd love to hear from you!
To apply for a role at Nous in Australia, you must have the right to work in Australia.
Please note if you are successful in the recruitment process, you will be required to undertake background screening prior to your commencement at Nous.