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AI Engineer
- Posted26 November 2025
- Salary$150000 per annum
- LocationSydney
- Job type Permanent
- Expertise Sirius Technology
- ReferenceBH-63881
Job Description
AI Engineer / GenAI Specialist –
Type: Full-time / Permanent
Industry: Insurance, FinTech, AI/ML
Reports to: Head of Data & AI / AI Product Lead
About We power more than 25 leading brands including IAG, Woolworths, Medibank, Bupa, HCF, Petbarn, AA (NZ) and more.
Role Overview We are looking for a hands-on AI Engineer / GenAI Specialist who thinks like a product person. Your mission is to design, build, and deploy AI solutions (LLMs, GenAI, ML models) that solve real business problems across claims, customer experience, fraud detection, underwriting, and internal operations.
You will work closely with product, technology, data, operations and commercial teams to turn AI ideas into production-ready solutions — focusing on practical application, business impact, and responsible AI practices.
Key Responsibilities AI / GenAI Product Development
Type: Full-time / Permanent
Industry: Insurance, FinTech, AI/ML
Reports to: Head of Data & AI / AI Product Lead
About We power more than 25 leading brands including IAG, Woolworths, Medibank, Bupa, HCF, Petbarn, AA (NZ) and more.
Role Overview We are looking for a hands-on AI Engineer / GenAI Specialist who thinks like a product person. Your mission is to design, build, and deploy AI solutions (LLMs, GenAI, ML models) that solve real business problems across claims, customer experience, fraud detection, underwriting, and internal operations.
You will work closely with product, technology, data, operations and commercial teams to turn AI ideas into production-ready solutions — focusing on practical application, business impact, and responsible AI practices.
Key Responsibilities AI / GenAI Product Development
- Design and build AI-powered features using LLMs, RAG pipelines, embeddings, vector databases and retrieval systems.
- Develop prototypes and production solutions solving real problems such as claims automation, digital assistants, summarisation, workflow optimisation, and customer insights.
- Translate business requirements into technical solutions that balance value, feasibility, cost and risk.
- Build scalable AI services and APIs using modern engineering practices.
- Implement prompt engineering, fine-tuning, evaluation, guardrailing, and monitoring.
- Own end-to-end AI lifecycle: data preparation → model selection → deployment → monitoring.
- Work with stakeholders to deeply understand the insurance and pet health domain.
- Identify where AI should and should not be used.
- Estimate ROI, effort, and impact of proposed AI initiatives.
- Reframe ambiguous or complex problems into structured AI opportunities.
- Partner with product managers, designers, data engineers, operations and legal.
- Present AI concepts and solutions to non-technical stakeholders clearly.
- Help uplift AI literacy across the organisation.
- Mitigate model risks such as hallucinations, bias, privacy and explainability.
- Ensure compliance with insurance and regulatory constraints.
- Build safe and trustworthy AI systems.
- Strong experience with LLMs and GenAI (OpenAI, Anthropic, Gemini, open-source models).
- Hands-on experience building RAG systems, embeddings, vector DBs (Pinecone, Weaviate, FAISS, Chroma).
- Proven experience deploying AI solutions into production (APIs, pipelines, monitoring).
- Solid Python or similar engineering skills.
- Strong ability to break down business problems and turn them into practical AI solutions.
- Excellent communication skills, with the ability to explain complex AI concepts simply.
- Experience in insurance, fintech, healthcare, or regulated environments.
- Experience with ML Ops, Docker, CI/CD, cloud platforms (AWS/Azure/GCP).
- Experience building conversational agents, chatbots, workflow automation, or decision-support tools.
- Understanding of risk controls in customer-facing AI applications.
