Production-Grade AI Enablement Engineer

Nuix; Sydney; Hybrid; AUD 180,000 - 230,000; Full time

Job summary

Nuix is building an internal AI capability and seeks an AI Enablement Builder to design, build and release production-grade AI solutions that transform business functions. This hands-on engineering role emphasizes producing working software in production rather than decks or recommendations.

The candidate should translate ambiguous problems into structured, production-ready solutions, owning the delivery lifecycle from scoping to post-launch monitoring and optimization.

Qualifications

• Proven experience shipping production AI systems in an enterprise environment.
• Fluency across LLMs, prompt engineering, retrieval-augmented generation and agent orchestration.
• Ability to translate a vague operational problem into a structured technical spec.
• Five+ years of software engineering or applied AI experience with collaboration with non-technical stakeholders.

Responsibilities

• Embed within assigned business functions for rotation periods 3–6 months and map AI opportunities to production solutions.
• Design, build and deploy end-to-end AI workflows and agentic systems in Nuix's internal environment.
• Own delivery lifecycle from scoping to production deployment, monitoring and iteration.
• Maintain POC discipline with time-boxed validation against real data.
• Synthesize patterns and contribute findings to Nuix's AI knowledge base and roadmap.
• Act as a technical peer to function leads and communicate progress to stakeholders.

Skills

Production AI systems

Python

LLMs

Prompt engineering

Agent orchestration

Job description

Nuix is building an internal AI capability and seeks an AI Enablement Builder to design, build and release production-grade AI solutions that transform business functions. This hands-on engineering role emphasizes producing working software in production rather than decks or recommendations.

The candidate should translate ambiguous problems into structured, production-ready solutions, owning the delivery lifecycle from scoping to post-launch monitoring and optimization.