Senior Ai Automation Engineer – Digital (Melbourne)

Senior Ai Automation Engineer – Digital (Melbourne)

08 Aug
|
Forever New
|
Melbourne

08 Aug

Forever New

Melbourne

Step into the world of Forever New, where fashion meets innovation. As one of Australia's leading global fashion brands, we've grown from our Melbourne roots to over 450 stores worldwide with a thriving online presence. Our success is driven by our passionate community of creative thinkers, retail experts, and forward-looking innovators who bring our vision to life - to make it her moment.
At Forever New, we're not just designing beautiful fashion; we're building smart, data-driven solutions that power exceptional customer experiences and informed decision-making. Join us as we continue to evolve our BI, Data & Integrations team and shape the future of retail through insight, innovation, and technology.
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.
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
Build with security,



privacy and governance by design human-in-the-loop by default for anything touching customers, money or systems of record; full logging and traceability
Manage performance, reliability and cost in production; reduce recurring issues through standard patterns
Document thoroughly runbooks, agent cards, decision records so what you build is supportable and reusable
Raise the whole organisation's game
Partner with and coach business AI champions; where a high-value area is stuck, embed temporarily to deliver the first agent and hand it back.
Contribute SME insight, reusable patterns and delivery learnings into Forever New's enterprise AI standards and guardrails through established architecture and governance forums
THE SKILLS & EXPERIENCE YOU OFFER US
3+ years' experience in the retail or related industry
Proven experience designing, building and shipping LLM/agent applications to production (not just prototypes)
Strong software engineering fundamentals in Python and/or TypeScript (or similar), with solid API and version-control practice
Hands-on with agent frameworks and orchestration, tool/function calling, and the Model Context Protocol (MCP)
RAG, embeddings and vector databases, plus strong SQL and data pipeline skills; comfortable working with structured and unstructured data.
Evaluation and LLMOps / AgentOps: building eval harnesses, versioning prompts and agents, CI/CD, observability and guardrails for AI systems at scale
Prompt and context engineering, with an eval-driven, iterative approach
Strong analytical and problem-solving skills
Results-driven with excellent organisation and prioritisation abilities
Calm, adaptable, and effective in fast-paced environments
Proactive mindset with strong initiative and accountability
Commercially astute with sound business judgement
Collaborative communicator, able to engage technical and non-technical stakeholders
OUR VALUES
Whether we're innovating behind the scenes, collaborating across global teams, or styling our customers in store, these values guide everything we do:
Think Customer
Respect for All
Keep it Simple
Take Responsibility
Act with Pace
Join Forever New and play a key role in shaping a modern, data-driven retail business.
Be part of a brand where fashion meets innovation and help usmake it her moment.
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📌 Senior Ai Automation Engineer – Digital (Melbourne)
🏢 Forever New
📍 Melbourne

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