FOREVER US

This year, we celebrate 20 years of Forever New.

Our story started with a simple premise; to create moments worth remembering through the pieces in her wardrobe. Twenty years later, we've built a global Australian fashion brand loved across more than 25 countries.

THE PERKS WE OFFER YOU

As a valued member of the Forever New family, you'll enjoy a range of benefits designed to support your success and wellbeing:

- Enjoy a generous 40% employee discount, including periodic family & friends offers
- Coffee lover? Indulge in daily subsidised coffee and lunch at the café downstairs
- Celebrate loyalty and life moments with birthday and loyalty leave
- Access to ongoing learning and development through LinkedIn Learning courses
- Benefit from paid parental leave, helping you balance family and career
- Gain recruitment referral incentives for bringing exceptional talent into the team
- Take part in wellbeing and sustainability initiatives, supporting both you and the planet
- Grow with continuous learning and development programs
- Be recognised for your contributions through awards and recognition programs
- Enjoy subsidised car parking and a vibrant Richmond head office location
- Gain exposure to a global business operating across 5 continents

YOUR DREAM CHANCE

The Senior AI Engineer (Agents & Automation) designs, builds, evaluates and operates the AI agents, tools and pipelines that put AI to work across Forever New with e-commerce and digital as the primary focus, and the whole business as the canvas.

This is a hands-on engineering role at the heart of our AI Centre of Excellence.



You will ship production-grade AI agents and, just as importantly, build the enterprise-grade rollout machinery around them: a scalable, evaluated, versioned and governed way of releasing agents, prompts, tools, MCP connectors, RAG and data pipelines. You care as much about how reliably and repeatably we ship and operate AI as about the agents themselves.

You will operate in an agent-led delivery model where AI agents are trusted to do meaningful work under human supervision with the emphasis on outcomes, quality controls and repeatability rather than approving every step. You'll reengineer the process before you automate it, document what you build, and feed reusable patterns and guardrails back into Forever New's enterprise AI standards.

In this newly created role you will help move Forever New from promising pilots to a governed, compounding portfolio of agents that genuinely add value no fluff, no hype, no rework.

GET EXCITED TO

Build agents that matter

- Design and ship production AI agents across the taxonomy conversational/customer-facing, knowledge & Q&A;, workflow/process automation, decision-support and monitoring

- Reengineer and optimise the underlying business process first (mapping it in BPMN),



then automate it because automating a broken process just makes waste faster.

- Integrate tools and MCP connectors with least-privilege, allow-listed access and clean separation between agents that read and agents that act.

- Build retrieval-augmented generation (RAG), vector and data pipelines grounded in governed data, so agents answer from a single source of truth.

- Contribute to creating agents that generate dashboards, answer business questions and release insights from enterprise data and the governed semantic layer on Databricks, with evaluation, cost monitoring and release controls built into the delivery process.

- Data science and machine learning experience is a strong plus, particularly where it supports forecasting, segmentation, recommendation, decision-support or customer/retail intelligence use cases.

Make the rollout enterprise-grade

- Build the evaluation harness: quality, groundedness, safety, bias and prompt-injection testing, combining LLM-as-judge with human review, so agents earn their release.

- Establish versioning and CI/CD for everything agents, prompts, tools, MCPs and pipelines with environments, release gates, rollback and kill-switches.

- Stand up observability and AgentOps: telemetry, monitoring, cost tracking, drift detection and continuous improvement loops in production.

- Define repeatable, supervised delivery patterns and progressively embed them into day-to-day engineering and operational practice.

Engineer for trust, cost and scale <

📌 Senior AI Automation Engineer (Australia)
🏢 Forever New
📍 Australia