• Employment Type: full time continuing role 

• Integration Engineer within our AI and Innovation directorate

• Starting Salary $127351-143489 plus generous superannuation and leave loading

• Location: Kensington campus in NSW (Hybrid Flexible Working) 2-3 days in the office

 

 

UNSW isn’t like other places you’ve worked. We’re a large organisation with a diverse and talented community; a community doing extraordinary things. Together, we are driven to be thoughtful, practical, and purposeful in all we do. Taking this combined approach is what makes our work matter. It’s the reason we’re one of the top 50 universities in the world and a member of Australia’s prestigious Group of Eight. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.

 

The Integration Engineer (AI) designs, builds and operates secure, scalable and cost-efficient integrations and AI-aware data flows across UNSW information systems. The role extends existing middleware and iPaaS capabilities to support retrieval-augmented generation (RAG), vector databases, AI gateways, and content-safety controls, enabling responsible use of AI across enterprise applications. Working within the Innovation and Enablement team, the position ensures integrations and AI components are developed and operated in accordance with UNSW IT standards, the UNSW AI Services & Governance Framework, and Australia’s AI Ethics Principles. This position reports to the Technology Manager (AI) within the Innovation and Enablement team and has no direct reports. 

 

• Design, implement and operate integrations and AI service interfaces (LLM providers, AI gateways, vector databases, embedding services) within UNSW platforms. 

• Develop RAG ingestion pipelines – data chunking, metadata enrichment, PII minimisation – to ensure quality, privacy and provenance of data used by AI systems. 

• Apply modern CI/CD and GenAIOps/LLMOps practices for integration components and AI artefacts (prompts, connectors, guardrail policies), including automated evaluation and rollback. 

• Identify opportunities where AI-based automations and intelligent routing can improve business processes; propose architectures and guardrails to realise these opportunities. 

• Plan for AI workload capacity and manage cost through monitoring, optimisation and FinOps reporting. 

• Collaborate with solution architects, data engineers and security teams to design and test AI data flows, using quantitative evaluation metrics (accuracy, groundedness, latency, toxicity). 

• Ensure all integrations and AI solutions comply with functional, security and Responsible-AI requirements, including privacy-by-design and human-in-the-loop controls. 

• Provide application and integration support, including incident response for AI-specific failure modes (prompt injection, model drift, bias anomalies). 

• Operate monitoring dashboards and alerts for AI gateways and vector stores; conduct root-cause analysis and coordinate vendor resolution. 

• Track and report AI quality and safety signals (evaluation scores, content flags) and drive remediation or retraining activities. 

• Maintain RAG data freshness and ensure reconciliation of source-of-truth vs retrieval indexes; implement scheduled backfills and PII purges. 

• Extend testing regimes to include prompt and response evaluations, adversarial tests and reproducibility checks; publish release notes with model/prompt versions. 

• Maintain an AI integration catalogue capturing connectors, models, prompts, indexes, guardrail policies and audit metadata. 

• Instrument and report AI performance (latency, cost, accuracy) and recommend tuning to optimise quality and value. 

• Identify and manage AI-related risks (bias, copyright, safety) and work with the AI Governance Lead to apply mitigations. 

• Translate business needs into AI-aware technical requirements, including evaluation KPIs and data readiness criteria. 

• Provide Level 2 and 3 support for integrations, AI connectors and model usage policies. 

• Contribute to the Integration & AI Engineering Playbook, establishing secure coding, prompt pattern and evaluation standards. 

• Engage with key stakeholders to explain AI behaviours, limitations and responsible use expectations; deliver awareness sessions where required. 

• Collaborate with developers to design and deliver RAG or agent-based features and associated safety test plans. 

• Author operational runbooks and end-user guides, including safe and ethical use instructions for AI-enabled integrations. 

 

 

• Flexible Working Options (work from home, flexible hours etc) 

• Career development opportunities

• 17% Superannuation contributions and additional leave loading payments 

• Additional 3 days of leave over Christmas period

• Discounts and entitlements (retail, education, fitness)

 

For further details on the benefits, please visit https://www.jobs.unsw.edu.au/lifestyle-benefits

 

How to Apply: please apply through the portal, we would like you to submit a full application including resume and addressing the who you are section.

 

Applications close:  Monday 23rd of Feb at 11.30pm

 

Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for. 

These pre-employment checks may include a combination of some of the following checks:-  

· National and International Criminal history checks

· Entitlement to work and ID checks

· Working With Children Checks 

· Completion of a Gender-Based Violence Prevention Declaration 

· Verification of relevant qualifications

· Verification of relevant professional membership 

· Employment history and reference checks

· Financial responsibility assessments/checks.

· Medical Checks and Assessments

 

Compliance with the necessary combination of these checks is a condition of employment at UNSW.

 

Get in Touch:

Jen MacLachlan 

j.maclachlan@unsw.edu.au

Talent Acquisition Partner – UNSW IT

 

Please apply through the application portal and not via the contact above.

 

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.