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About the Role
As a Senior Data Scientist, AI Solutions, you will design and deliver production-grade generative AI applications for major Australian organizations. You will take ownership of solutions from initial design through client handover, combining deep technical expertise in LLMs, ML, and cloud technologies with a consultative mindset to solve complex business problems.
Responsibilities
- Take end-to-end ownership of production-grade GenAI and LLM applications, from initial design through to client handover, using Python and frameworks like LangChain and LangGraph
- Make informed decisions on the right approach for each problem, whether classical ML, LLM prompts, workflows or agents, and architect cloud-native solutions on AWS, Azure or GCP
- Design evaluation frameworks and observability metrics, and build the APIs and data pipelines (SQL, DBT, orchestration tools) that keep solutions reliable in production
- Partner with clients and domain experts to understand problems and validate approaches, translating technical concepts for non-technical stakeholders and flagging risks and trade-offs early
- Lead code reviews, mentor junior team members and contribute to our technical standards, while supporting business development through technical scoping, solution design and proposals
Requirements
- 5 or more years of experience in data science, AI/ML development or technical consulting, with a track record of delivering production-grade AI/ML solutions end to end
- Hands-on experience building LLM applications with LangChain, LangGraph or similar, and a strong understanding of how LLMs and transformer architectures work under the hood
- Strong Python skills with solid software engineering practices (testing, code quality, version control)
- Hands-on experience with a major cloud platform (AWS, Azure or GCP) and containerisation (Docker)
- Working knowledge of SQL and data pipelines, with orchestration tools such as Airflow or Vertex AI Pipelines and DBT a bonus
- The ability to balance technical excellence with pragmatism, navigate ambiguity, manage competing priorities and consistently deliver quality solutions
- The ability to explain complex concepts clearly to non-technical audiences and build trusted relationships with client teams, ideally with experience in consulting or client-facing delivery
- Familiarity with ML algorithms (GBM, GLM) and experimentation frameworks such as A/B testing, and contributions to open source or technical communities
Skills
- Generative AI
- Large Language Models (LLMs)
- Machine Learning (ML)
- Python
- LangChain
- LangGraph
- AWS
- Azure
- GCP
- SQL
- DBT
- Docker
- Airflow
- Vertex AI Pipelines
- GBM
- GLM
- A/B testing
Location
- Australia
Work Type
- Hybrid
- Flexible work arrangements
- Remote working (up to 30 days/year)
Experience Level
- Senior
Benefits
- Flexible work arrangements
- Global mobility
- Remote working opportunities
About the Company
- Quantium is a world leader in data science and artificial intelligence, established in Australia in 2002.
- Quantium is a global team of more than 1,200 people across 14 locations.
- Quantium partners with the world's largest corporations to forge a better, more intelligent world.
- Quantium is transforming into an AI-native organization and helping clients do the same.
- Quantium has 23 years of domain expertise, proprietary data partnerships, and industry-leading AI adoption (90% weekly active usage).