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Woolworths Ltd.

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Senior Data/AI/ML Engineer at Woolworths Group Limited

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Summary

A senior engineer on Woolworths' NZ data team who architects and deploys AI/ML solutions — agentic workflows, autonomous coding agents, and RAG — while building semantic data architectures and cloud warehouses (BigQuery, Vertex AI, dbt, Airflow) that AI agents can operate on, with strong AI governance, security guardrails, and mentoring of junior engineers.

What you’ll do:

The wiqNZ team unlocks the power of data to reimagine retail and make Kiwis’ lives better every day. As a Senior Data, AI, and ML Engineer, you will architect and deploy advanced models using agentic workflows, autonomous coding agents, and robust AI governance frameworks to scale our data capabilities. Beyond model deployment, you will design clean, semantic data architectures and cloud warehousing environments that enable AI agents to build, test, and govern pipelines autonomously. Working closely with cross functional teams, you will turn business challenges into trusted data solutions, establish core engineering patterns, and mentor junior team members.

  • Design, deploy, and manage multi-agent ecosystems, autonomous coding agents, and generative AI capabilities like retrieval-augmented generation and vector embeddings.
  • Build clean, structured data architectures using dimensional modeling and cloud warehousing to ensure schemas are easily interpretable by LLMs and AI agents.
  • Deploy automated agentic testing frameworks to manage non-deterministic model outputs, validate data quality, and enforce enterprise performance standards.
  • Establish comprehensive AI governance and observability structures to monitor for data drift, concept drift, algorithmic bias, and hallucinations.
  • Implement strict security guardrails and responsible AI practices to mitigate risks such as prompt injection and data exfiltration, ensuring protection of PII and full auditability for all AI-assisted workflows.
  • Track and optimize cloud compute expenditures across model token usage, efficient BigQuery processing, and cost-effective Vertex AI endpoint scaling.
  • Translate complex business requirements into scalable technical solutions through direct collaboration with cross-functional teams and stakeholders.
  • Promote modern engineering standards, mentor junior team members, and conduct regular peer reviews to elevate technical capabilities across the team.

What you’ll bring:

You bring a strong experimental and product led mindset, with a proven ability to manage stakeholder expectations effectively. You thrive in fast paced environments, comfortably driving rapid, iterative prototyping cycles to turn early proof of concept ideas into robust production solutions.

  • Hands-on experience with GenAI production frameworks (e.g., Vector Databases, LangChain, ADK) and agentic coding tools (e.g., Claude Code, Github Copilot).
  • Proven ability to build and maintain end-to-end data pipelines using modern cloud ecosystems, specifically BigQuery, Vertex AI, DBT and Apache Airflow.
  • Practical knowledge of cloud platforms, microservices, and distributed computing, with Google Cloud Platform and Kubernetes preferred.
  • Advanced skills in Python and modern development tools, alongside hands-on experience using agentic coding assistants.
  • Strong background in statistical modeling, machine learning frameworks, and robust MLOps practices for scalable deployment.
  • Deep understanding of data warehousing methodologies (eg Kimball).
  • Solid software engineering foundation utilizing Git, continuous integration, continuous delivery, and disciplined testing practices.
  • Track record of working in technical project teams and delivering complex, multi-stakeholder initiatives in agile, cross-functional environments.
  • Relevant cloud certifications, such as Google Cloud Professional Data Engineer or Cloud Architect, are highly advantageous.
  • Full stack development experience is an advantage.

What you’ll experience:

A global business with endless career possibilities around every corner and across every discipline – with valuable exposure to a vast and exciting business network. Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work. 12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave - eligible from the first day of employment. A range of programs to help you prioritise and manage your wellbeing, including 24/7 access to the Sonder app. A progressive and competitive leave policy that gives you more space for what matters to you. Everyone belongs at Woolworths Group As one of the largest employers in Australia and New Zealand, we aim to create a truly inclusive workplace where everyone feels that they belong, can be their best selves, and reach their full potential. Diversity, equity, inclusion, and belonging are key to realising our purpose of better together for a better tomorrow. We recognise the value our team’s diversity brings to our business, customers, and communities and that teams with diverse experiences and backgrounds enrich our group and are better able to innovate and solve problems. Woolworths Group is an inclusive, team-first company and we value all skills and experiences. If you meet some, but not all of the requirements, we encourage you to submit your application.

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