Senior AI Engineer - South Bank, QLD at Flight Centre

, Queensland, Australia -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI, LLM-powered applications, Python, MLOps, LLMOps, Azure, Databricks, Kubernetes, Machine learning, Time-series forecasting, CI/CD, Model registry, Drift detection, PyTorch, Scikit-learn, LangGraph

Industry

Travel Arrangements

Description

[https://publicstorage.dc2.pageuppeople.com/889/ProviderAsset/c6bee375-dca3-4b71-aca0-5f6858eaefdf.png] At Flight Centre Travel Group (FCTG) our purpose is to 'open up the world for those who want to see'. Every day, we give people all around the world the opportunity to experience something amazing – travel!  As the Senior AI Engineer you'll be responsible for designing, building, and operating production grade agentic AI systems, LLM-powered solutions and classical ML workflows that enhance and transform the travel experience across FCTG's Supply business. You'll take ownership of the full AI engineering lifecycle, from architecture through to deployment and ongoing observability, applying strong engineering standards across MLOps and LLMOps. Working closely with Data Scientists to productionise validated models and with Data, Infrastructure and Security Engineers to integrate AI systems into the broader technology platform, ensuring all AI solutions meet rigorous standards for reliability, scalability, safety, and cost-efficiency. If you would like to play a key part in raising technical capability across the team by championing best practices, contributing to platform design, and mentoring junior engineers, we encourage you to apply! * Lead the design, development, and productionisation of agentic AI workflows, LLM-powered applications, and multi-agent systems * Productionise classical ML models (e.g. classification, regression, time-series forecasting), ensuring they meet production-grade standards for reliability, monitoring, and retraining * Own and evolve end-to-end MLOps and LLMOps pipelines including CI/CD, model registry, drift detection, retraining, and automated evaluation * Build and maintain scalable ML infrastructure on Azure and Databricks including feature engineering pipelines and data platform integrations * Architect and build AI agent workflows, endpoints, gateways, and orchestration layers enabling secure tool usage, structured reasoning, and multi-agent collaboration * Deploy and optimise AI workloads on Kubernetes and cloud-native Azure environments * Define and enforce engineering quality standards through code reviews, design reviews, and technical documentation You'll be perfect for the role if you have: * Tertiary qualifications in Computer Science, Software Engineering, Data Science or a related field or equivalent practical experience * Proven experience deploying and operating production-grade agentic AI systems, LLM-powered applications, or ML pipelines with commercial impact * Strong Python programming skills and deep knowledge of modern AI/ML frameworks (e.g. LangGraph, LlamaIndex, PyTorch, scikitlearn) * Solid understanding of classical machine learning, including supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), and time-series forecasting, with hands-on experience taking models to production * Strong experience with Azure cloud services (Azure ML, Azure DevOps, Azure Container Services, Azure Function Apps) and Databricks You'll earn brownie points with: * Relevant Azure certifications (e.g. Azure AI Engineer Associate, Azure Solutions Architect, Azure Data Scientist Associate) * Experience with front-end technologies (e.g. TypeScript, React) or infrastructure tooling (e.g. Terraform, Bicep) for building AIpowered interfaces or managing cloud-native deployments. * Experience building data engineering pipelines * Demonstrated contributions to open-source AI projects or published technical work What you'll enjoy: 🙋🏾‍♀️Culture: you will be employed by an inclusive company that offers a team culture like no other in the industry - Flight Centre Travel Group Australia is proud to be a certified Great Place To Work® Australia New Zealand Pty Ltd 👐🏽 Our People: FCTG is an Equal Opportunity Employer and encourage all suitably qualified applicants to apply, including Aboriginal and Torres Strait Islander People and people from racial, ethnic, or ethno-religious minority groups and people with disability 🎉Development: Individualised Learning & Development pathway options 🔧Access to 'LinkedIn Learning' for ongoing skills development: over 24,500 courses in over 20 languages 🏆Exclusive Staff Discounts: Accessible via our employee-only portal with 350+ of Australia’s leading retailers, health and wellness discounts, financial planning advice, employee share plan and more 🌏Travel Discounts: Including family and friends - flights, hotels, tours, cruises, travel insurance and more 💎Brightness of Future: Career opportunities in a network of brands and businesses across the globe - we promote from within   🥦Corporate Health Discounts: Access exclusive discounts on health insurance plans for you and your family with our partner, BUPA, access to internal gym 🌞Mental Health: Support and Employee Assistance Program for staff and family 🎉Social: Regular awards nights, social team-building and industry events, with the opportunity to attend global conferences (Bangkok in 2026)   🙏🏼 Giving Back: Corporate Social Responsibility program supporting nominated charities through Workplace Giving, volunteering and fundraising; paid parental and volunteer leave 💚Sustainability: The protection of our environment is essential to the future of tourism, as a leading travel group, we have made efforts to affect positive change to the environment 💛 Be part of a workplace committed to reconciliation through our Reconciliation Action Plan - we proudly support Aboriginal and Torres Strait Islander inclusion, cultural safety, and dedicated cultural leave [https://publicstorage.dc2.pageuppeople.com/889/ProviderAsset/4340d712-54f3-4e3c-bc3f-c3dedb58eb6b.png] #LI-KC1#LI#onsite

Responsibilities

You will lead the design, development, and productionisation of agentic AI workflows, LLM-powered applications, and classical machine learning models. Additionally, you will own the end-to-end MLOps and LLMOps pipelines while collaborating with cross-functional teams to integrate AI systems into the broader technology platform.