Role Overview:

Nuix is building a dedicated internal AI capability to close the gap between AI promise and P&L impact. The AI Enablement Builder is a collaborativeindividual contributor who embeds directly into priority business functions, to design, build and release production-grade AI solutionsthat transform the way the function works. This is not a pure consulting or advisory role: it is a hands-on engineering position whose output is working software in production, not decks or recommendations.

The successful candidate is equally fluent in AI tooling and in business process, capable of translating a vague operational problem into a structured, production-ready solution within a short rotation. They bring the engineering discipline to own an outcome from scoping through to post-launch monitoring, and the communication skills to operate credibly alongside functional leaders without requiring close technical supervision.

Location:

This position will be based in our Sydney office. The candidate is required to attend the office a minimum of 3 days per week but may voluntarily elect to work either remotely or from the Sydney office for the remaining 2 days of the week.

• Demonstrated experience building and shipping production AI systems in an enterprise environment, with Python as the primary language. Candidates must show a track record of use cases that moved from scoping to production(not POC libraries)including RAG pipelines, agentic workflows or LLM integrations against real business data.

• Applied AI fluency across the core technical stack: LLMs, prompt engineering, retrieval-augmented generation, agent orchestration, MCP-based tool integration, evaluation frameworks and deployment across cloud, frontier and local/open-source models. This is not a research background; the requirement is production fluency, knowing when to use which approach, how to evaluate outputs reliably and how to manage token cost and latency in live systems.

• Strong business process acumen, with the ability to diagnose a functional workflow problem, impose structure on an ambiguous brief and translate it into a technically tractable specification. The role sits at the intersection of engineering and light-touch consulting; candidates who can only operate with a fully scoped brief will not succeed in embedded rotation environments.

• A minimum of five years of software engineering or applied AI experience, with at least two years in a role requiring direct collaboration with non-technical business stakeholders. Relevant backgrounds include forward deployed engineering, solutions architecture, internal tools engineering or applied AI roles in enterprise software, data intelligence, legal tech or adjacent domains.

• Exposure to eDiscovery, investigative analytics, legal technology or regulated-data environments. Familiarity with the data sensitivity, chain-of-custody requirements and compliance constraints typical of Nuix's core market will shorten ramp time significantly in Legal and Investigations rotations.

• Experience in a structured embedded or rotation-based deployment model, such as an internal centres-of-excellence, tiger team or forward-deployed engineering function. Candidates who have navigated the stakeholder dynamics, context-switching demands and knowledge-transfer obligations of time-bound embedded assignments will adapt most readily to the Nuix AI Builder model.