Integration Engineer ( AI )

Sydney - Canada

Monthly Salary: $ 127351 - 143489

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Employment Type: full time continuing role

Integration Engineer within our AI and Innovation directorate

Starting Salary $89 plus generous superannuation and leave loading

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

About UNSW:

UNSW isnt like other places youve worked. Were 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. Its the reason were one of the top 50 universities in the world and a member of Australias prestigious Group of Eight. If you want a career where you can thrive be challenged and do meaningful work youre 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 Australias AI Ethics Principles. This position reports to the Technology Manager (AI) within the Innovation and Enablement team and has no direct reports.

Specific accountabilities for this role include:

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.

Who you are:

Relevant tertiary qualification in Information Technology or equivalent experience in application integration and AI-enabled solutions.
Demonstrated experience with middleware/iPaaS platforms (e.g. Azure Integration Services MuleSoft Boomi) and APIs.
Experience with building in Power Platform applications like Copilot Studio Power Apps and Power platform will be pivotal to the role
Understanding of Azure or AWS AI ecosystem Infrastructure as a Code and building with Agentic AI tools.
Hands-on experience building or supporting AI integration components such as vector databases (Azure AI Search pgvector OpenSearch) embedding pipelines and AI gateways.
Proficiency in Python or TypeScript for data transformation API development and prompt automation.
Familiarity with GenAIOps/LLMOps practices evaluation metrics and prompt/version control.
Knowledge of privacy and security requirements under Australian Privacy Principles and UNSW Cyber standards including PII redaction and data minimisation.
Understanding of event-driven integration patterns (e.g. Kafka Pub/Sub) for real-time context updates.
Experience with cloud platforms (Azure AWS GCP) and AI service APIs.
Excellent analytical and problem-solving skills strong communication skills and ability to engage stakeholders effectively.
Demonstrated ability to work collaboratively within an agile team and adapt to changing priorities.
An understanding of and commitment to UNSWs aims objectives and values in action together with relevant policies and guidelines.
Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training.

Benefits and Culture:

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 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

Pre-Employment Checks

Aligned with UNSWs 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

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.

Required Experience:

Employment Type: full time continuing role Integration Engineer within our AI and Innovation directorate Starting Salary $89 plus generous superannuation and leave loading Location: Kensington campus in NSW (Hybrid Flexible Working) 2-3 days in the officeAbout UNSW:UNSW isnt like other places youve...