Chemist Warehouse is Australia's largest pharmacy retailer with over 17,000 team members and more than 600 stores nationwide. Following our merger with Sigma Healthcare, we're now a Top 50 ASX-listed company with expanding operations across New Zealand, Ireland, and China.
Together, we're transforming healthcare and retail with industry-leading distribution, technology, and people practices — and we want you to be part of this journey.
About us
Chemist Warehouse is Australia's largest pharmacy retailer with over 17,000 team members and more than 600 stores nationwide. Following our merger with Sigma Healthcare, we're now a Top 50 ASX-listed company with expanding operations across New Zealand, Ireland, and China.
Together, we're transforming healthcare and retail with industry-leading distribution, technology, and people practices — and we want you to be part of this journey.
About the role
The AI Engineer is responsible for delivering high quality engineering outcomes against agreed objectives and working interdependently on shared team goals.
This role is a hands‐on technical delivery role focused on building, deploying and operating enterprise grade AI capabilities in production. The role is primarily accountable for hands‐on engineering delivery, platform contribution and reliable BAU outcomes.
Key Responsibilities
Build and operate enterprise LLM/GenAI solutions integrated with Snowflake, dbt Cloud and approved cloud services.
Design and implement RAG capabilities over governed enterprise data and documentation.
Deliver secure conversational AI and agentic AI solutions with appropriate guardrails and governance controls.
Implement LLMOps/MLOps and CI/CD pipelines for AI applications, including monitoring, evaluation and deployment automation.
Monitor and optimise AI solution quality, reliability, latency and cost.
Partner with data engineering and business stakeholders to deliver AI products aligned to enterprise data models and business outcomes.




Contribute to reusable AI engineering standards, templates and best practices across the organisation.
Key Selection Criteria
Education / Experience
Tertiary qualification in Computer Science, Software Engineering, Mathematics, or a related field
Bachelor's degree or higher preferred
Demonstrated experience operating at a senior/principal level in AI, ML, or LLM engineering (or related field), delivering production outcomes
Healthcare and/or retail industry experience desirable
Knowledge & Skills
Highly developed organisational and planning skills
Strong attention to detail
Excellent written and verbal communication skills
Proficient in Microsoft Office Suite
Strong time management and prioritisation skills
Proven experience delivering AI/ML/LLM solutions and data products in production environments (build, run, monitor, optimise)
Strong Python engineering capability, including clean code practices, testing, and packaging
Robust SQL and data engineering fundamentals
Hands‐on experience with Snowflake, including security, performance optimisation, and cost management
Experience with dbt Cloud, including data modelling, environments, and Git workflows
Experience implementing CI/CD pipelines for data and AI products
Strong understanding of automated testing, including unit, integration, data quality, and regression testing
Solid data modelling fundamentals with focus on dimensional and semantic consistency
Strong understanding of security and governance by design, including RBAC/RLS, masking, and logging
Ability to collaborate effectively with stakeholders and senior engineers to deliver high-quality production outcomes
Why join us
Be part of one of Australia's most recognised retail brands
Meaningful, varied work that directly impacts store safety and performance
Opportunities to grow your skills across investigations, risk, and retail operations
The successful applicant will be required to meet a satisfactory National Criminal History Check outcome.
#J-*****-Ljbffr

📌 Ai Engineer (Melbourne)
🏢 Chemist Warehouse
📍 Melbourne