Senior AI Engineer
Location
Sydney (hybrid)
Team:
AI Squad | IT
Reporting to:
Group Manager – Data & AI
The opportunity:
We're looking for a Senior AI Engineer to design, build, and operate production-grade AI systems that deliver measurable business value. This role sits at the intersection of engineering excellence, applied AI, and real-world outcomes — not experiments for experiment's sake.
You'll work on modern AI solutions including LLMs, RAG, agents, and ML services, deployed at scale on Azure and Databricks, with strong governance, security, and operational discipline.
What you'll be doing
* Build and deploy
AI services and APIs
for inference and retrieval (LLMs, RAG, ML models, agents)
* Develop
data pipelines
for training and retrieval with strong governance, privacy, and auditability
* Contribute to the
AI platform and MLOps toolchain
(CI/CD for models, MLflow, feature stores, monitoring, rollback)
* Translate business and product requirements into
well-scoped technical deliverables
* Write
clean, well-tested Python code
and contribute reusable components and patterns
* Operate AI workloads in production with clear
SLIs/SLOs
(availability, latency, cost)
* Apply
security-by-design
practices including prompt protection, content filtering, access controls
* Maintain documentation, runbooks, and architectural decision records
What we're looking for
* Write clean, well-tested code in .NET and Python, following shared patterns and participating in reviews.
* Deep experience with
Azure-native architecture
* Hands-on with
Databricks
(Delta, Unity Catalog, MLflow) and
Azure OpenAI / Azure ML
* Solid understanding of
RAG patterns, tools/agents, and function calling
* Strong
data engineering fundamentals
(batch & streaming pipelines, data quality, lineage)
* Practical experience securing AI systems (privacy, prompt safety, auditability)
* Ability to turn
real customer problems into working AI solutions
* Comfortable working in cross-functional teams and owning outcomes end-to-end
Nice to have
* Azure, Databricks, or related certifications
* Experience operating AI at enterprise scale
* Background in regulated or data-sensitive environments
Why this role
Work on real, production AI in an enterprise environment — not demos
Strong focus on engineering quality, security, and operational excellence
Influence platform standards and reusable AI patterns
Clear connection between your work and business impact
Curious to know more? Apply today for a confidential discussion. We look forward to connecting with you