AI Technology Lead: RAG, LLM APIs & Cloud (Hybrid)

University of New South Wales; Sydney; Híbrido; AUD 139 000 - 169 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible Working

17% Superannuation

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Christmas leave

Resumo da oferta

University of New South Wales – Kensington NSW is seeking a Technology Specialist (AI) to lead the design, development and maintenance of AI-enabled applications across campus projects. The role requires building and operating RAG pipelines, LLM-based APIs, and AI data pipelines on AWS and Azure within a hybrid flexible environment.

This role emphasizes governance, security, and agile delivery; you will collaborate with Developers to deliver scalable, responsible AI solutions and contribute to

Qualificações

• Experience building AI-enabled solutions in AWS and Azure.
• Familiar with LLMs, RAG pipelines, data pipelines and microservices.
• Strong Python/TypeScript/C# programming with CI/CD experience.

Responsabilidades

• Lead the design, development and maintenance of AI-enabled applications.
• Develop and operate RAG pipelines and LLM-based APIs on AWS/Azure.
• Ensure alignment with UNSW AI Services & Governance Framework and security standards.
• Promote Responsible AI practices and produce runbooks and end-user guidance.

Conhecimentos

Python

TypeScript

C#

CI/CD

Agile delivery

Communication

Problem solving

Formação académica

Relevant tertiary qualifications in CS/Engineering/IT

Ferramentas

AWS

Azure

LLM APIs

Vector databases

Docker

GitHub Actions

Azure DevOps

Jira

Confluence

Descrição da oferta de emprego

University of New South Wales – Kensington NSW is seeking a Technology Specialist (AI) to lead the design, development and maintenance of AI-enabled applications across campus projects. The role requires building and operating RAG pipelines, LLM-based APIs, and AI data pipelines on AWS and Azure within a hybrid flexible environment.

This role emphasizes governance, security, and agile delivery; you will collaborate with Developers to deliver scalable, responsible AI solutions and contribute to