AI Engineer

At Intelligen, we’re building something different. Over the past three years, we’ve evolved from a bold startup to a trusted partner for some of Australia’s most complex data transformations. We’ve helped organisations move from legacy to modern platforms, embedded governance into decision-making, and are bringing AI into the hands of the business, responsibly and at speed.

Now, as we scale into our next phase, we’re focused on helping organisations move beyond isolated AI experiments and turn promising ideas into practical solutions. Our approach brings together the right problem, the right people and lightweight technology to create outcomes users can understand, trust and adopt.

We’re looking for an AI Engineer who can support our client apply business logic to narrow in on AI use cases of value, build practical workflows and agents, and keep moving until the solution works.

This is a hands-on role for a curious problem solver who can work with stakeholders to uncover useful AI opportunities, build and improve lightweight agents, and take solutions from an unclear starting point through to a practical outcome. Learning speed, judgement and communication matter just as much as deep engineering specialisation.

This role is ideal for someone who can:

Ask the right questions and turn an unclear business problem into a useful AI opportunity

Build, test and embed practical AI solutions, rather than stopping at an experiment

Explain their thinking, trade-offs and limitations clearly to stakeholders

Take ownership from discovery through to delivery, adoption and a measurable outcome

Key Responsibilities

AI Opportunity Discovery

Work with stakeholders to explore business problems and identify practical, valuable AI use cases

Ask targeted questions to understand existing workflows, constraints and user needs

Turn unclear starting points into defined, testable problems connected to measurable value

Agent Prototyping & Delivery

Build, test and improve lightweight AI agents using platforms such as Foundry, Bedrock and ChatGPT, including assisting in the development of AI Gateways.

Troubleshoot issues, test assumptions and refine solutions until they produce a practical outcome

Explain technical limitations and trade-offs honestly, adjusting the approach when needed

Stakeholder Facilitation & Adoption

Facilitate stakeholder sessions and maintain momentum from discovery through to delivery

Communicate progress, decisions and constraints clearly to technical and non-technical audiences

Provide training and practical guidance so users can adopt solutions confidently

Responsible AI & Expectation Management

Set realistic expectations about what AI can and cannot do

Apply grounded judgement to AI capabilities, risks, limitations and responsible use

Ensure solutions are useful, testable and appropriate to the business context

Requirements

4+ years’ experience across 1 or more of the following; AI engineering, machine learning engineering, data engineering, or modern data platform delivery

1-2 years practical experience experimenting with or building AI agents and LLM-enabled solutions

Confident stakeholder communication, active listening and workshop facilitation

Strong curiosity and a structured approach to problem-solving

The ability to learn new tools quickly and apply them to real business problems

A grounded understanding of AI capabilities, risks and limitations

The ability to explain your thinking clearly and take ownership through to an outcome

Nice to Have

Experience building AI-enabled applications, agent frameworks, or machine learning solutions in enterprise environments

Experience with prompt design, agent workflows, automation or rapid prototyping

Previous consulting or client-facing delivery experience

Experience contributing to AI CoE practice initiatives.

What Success Looks Like

Stakeholders feel heard and the real problem is clearly defined

AI use cases are practical, testable and connected to measurable value

Solutions move from experiment to completion, with users trained and expectations managed

Users understand the solution, its limitations and how to use it confidently

Governance and control measures are built in and defensible

Value based success metrics are measurable

Benefits

Why Intelligen?

We're not just delivering AI and data projects. We're humanising them. That means we care deeply about the how, not just the what. We value curiosity, creativity, and a willingness to challenge the status quo. We look for people who are driven to build a business, get curious, and contribute ideas that shape our future.

As well as:

Work From Home - Flexible hours

Training & Development

Free Food & Snacks in the office

Multiple socials and community groups

Opportunity to drive projects that are of interest to you!

You’ll work with a team that’s smart, kind, and ambitious. You’ll have real influence in your projects, your practice, and our business. And as we grow, so will you!