Embedded AI Builder for Production Solutions

Nuix; Sydney; Hybrid; AUD 180,000 - 240,000; Full time

Job summary

Nuix seeks a Principal AI Enablement Builder to embed into priority business functions and produce production-grade AI solutions. You will own end-to-end delivery from scoping to post-launch monitoring, translating vague problems into structured, production-ready solutions and collaborating with functional leaders without heavy supervision.

The role combines engineering rigor with business understanding, requiring 5+ years in software or applied AI and at least 2 years working with non-technical

Qualifications

• 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.

Responsibilities

• Embed within assigned business functions for rotation periods of three to six months, diagnosing high-value AI opportunities and converting them into production solutions.
• Design, build and deploy end-to-end AI workflows, automations and agentic systems that operate in Nuix's live internal environment.
• Own the full delivery lifecycle for each use case, from initial scoping through production deployment, monitoring and iteration.
• Maintain POC discipline, rapidly validating feasibility against real internal data before committing to full build.
• Synthesize patterns from embedded rotations and contribute findings to Nuix's internal AI knowledge base and programme roadmap.
• Act as a credible technical peer to function leads and the broader Champion network, translating business requirements into engineering specifications.

Skills

Python

LLMs

RAG pipelines

Agentic workflows

Production AI

Observability

Cloud deployment

Job description

Nuix seeks a Principal AI Enablement Builder to embed into priority business functions and produce production-grade AI solutions. You will own end-to-end delivery from scoping to post-launch monitoring, translating vague problems into structured, production-ready solutions and collaborating with functional leaders without heavy supervision.

The role combines engineering rigor with business understanding, requiring 5+ years in software or applied AI and at least 2 years working with non-technical