We’ve been trusted to serve Aussie communities since 1914 and grown to become a top 30-listed on the ASX with 120,000 team members and a portfolio of iconic brands. At Coles Group, you’ll not only get to make a difference to millions of Aussie lives—you’ll also get to see your impact.

EXPERIENCE REQUIRED

• Proven years of experience in AI/ML engineering, with a clear progression into management roles.
• Proven ability to design and architect complex scalable AI/ML systems and data pipelines
• Software engineering with app development background – strong programming skills
• Experience with GenAI and agentic workflows
• Significant experience with cloud platforms (AWS, Azure, GCP).
• A blend of software engineering and machine learning experience.
• Experience with cloud data platforms (Snowflake, DataBricks) and reporting tools (powerBI)
• Experience with MLOps practices (CI/CD, model monitoring, etc.).
• Evidence of building AI models and integrating them into business workflows (API management, load management, integration, data security, logging etc)
• Experience in complex corporate environments, retail experience preferred.
• Understanding of delivering under Agile methodology

COMMERCIAL SKILLS AND FORMAL QUALIFICATIONS

• Proficiency in programming languages like Python, Java, or C++.
• Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
• Knowledge of data engineering tools and technologies (Spark, Kafka, databases).
• Cloud platform expertise.
• Leadership and team management skills.
• Good understanding of software architecture.
• A Bachelor’s or Master’s Degree in Computer Science, Statistics, Maths, or a related field.

This exciting position within our Data and Intelligence team will be pivotal in architecting and leading the development of scalable, high-performance AI/ML and data solutions.

To be successful in this role, you will aim for the below:

• lead domain-specific squads including software engineers, data engineers, ML engineers, data scientists, and UX designers
• ensure measurable business value from AI and data engineering efforts, aligning with corporate plan outcomes.
• integrate AI solutions seamlessly into domain-specific applications and systems for efficient deployment
• establish best practices for software development, data engineering, and AI/ML model development.
• implement and optimize automation for rapid and reliable deployments.
• ensure AI and data solutions comply with security and compliance requirements.
• collaborate with product and platform leads for smooth integration of AI solutions and data infrastructure.
• cultivate a culture of experimentation and continuous improvement, exploring new technologies and strategies.
• make procurement decisions and implementing in-house builds or vendor solutions.

Your strength will lie in building a strong and mutually beneficial relationship between product teams, Technology leaders and enterprise stakeholders to define priorities, report on progress, and integrate AI and data solutions into business initiatives whilst building and elevating the software engineering practice to the Data and Artificial Intelligence disciplines.
You will provide thought leadership and strong technical understanding of evolving AI and Data technical domains, informing corporate roadmaps and capabilities.
Known for your influence, respect, and ability to instil trust, you excel in communication and strategic alignment.
Balancing people, process, and technology, you will recognise the challenge of influencing beyond the technology realm, captivating hearts and minds to embark on a collective journey.