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Open nowPosted 6 days ago

Solution Architect

Qantas Group30 open roles

Where
Sydney, New South Wales, Australia
Work mode
On site
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Your applicationOpen nowSolution ArchitectQantas Group · Sydney, New South Wales, Australia

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Qantas Group postings stay open a median of 12 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 6 days ago

Qantas Group median: 12 days open

The posting

Job Description

  • Shape and maintain Qantas AI architecture and capability.
  • Lead architectural governance, embedding standards and guardrails across domains.
  • Permanent, Full-time opportunity located Qantas Head Campus in Mascot

Technology is at the heart of how the Qantas Group delivers for our customers, people and shareholders. As we modernise, simplify and invest in the future, the right architectural foundations are critical to enabling safe, reliable and scalable solutions across the Group.

As a Solution Architect - AI in our Data, AI and Integrations architecture team, you'll shape how the Qantas Group designs, governs and scales AI. You'll set the architecture for our enterprise GenAI platform and AI/ML workbench. You'll also make sure our AI solutions are built on well-governed data from our new Snowflake-based data platform.

You'll work with business leaders, delivery teams, fellow architects and technology partners to turn AI opportunities into solutions that are safe, cost-effective and built to last.

What you'll be doing

  • Lead the solution architecture for AI and ML initiatives, from generative and agentic AI to predictive ML, and steer them through architecture review.
  • Maintain the AI capability model and logical architecture and contribute to the AI and ML reference architecture.
  • Design the enterprise GenAI platform and AI/ML workbench covering model access, agent orchestration, retrieval patterns and tool integration (including Model Context Protocol).
  • Build AI governance into every design, including privacy by design, data residency, model inference location, human oversight, evaluation and monitoring.
  • Define patterns for AI on the data platform, including Snowflake Cortex AI and Snowpark ML, and for real-time inference using event streaming.
  • Assess build versus buy, managed versus self-hosted, and which AI pattern (if any) fits the problem, with clear cost, risk and value trade-offs.
  • Partner with Security, Cyber and Risk on AI-specific threats, such as prompt injection, data leakage and model supply-chain risk.
  • Advise sponsors and delivery leads on scope, sequencing and architecture risk across concurrent AI initiatives.
  • Mentor architects and engineers to build AI architecture capability.

Essential

  • At least 7 years in solution or enterprise architecture, including recent hands-on experience designing and deploying AI/ML solutions in production on AWS (for example, Amazon Bedrock, Bedrock Agent Core, SageMaker AI).
  • Practical depth in generative and agentic AI patterns: RAG, fine-tuning, agent frameworks, evaluation, guardrails and inference cost management.
  • Experience with MLOps and model lifecycle management within broader program governance.
  • Strong data management foundations, including data quality, master and reference data, lineage and cataloguing, and an understanding of how these affect model accuracy, bias and reliability.
  • A working understanding of the Australian Privacy Principles (including cross-border disclosure) and Australian Government AI guidance, and how these translate into architecture controls.
  • The ability to explain AI trade-offs, such as hallucination risk, RAG versus fine-tuning, and cost, to executive audiences in plain language.
  • Sound judgement under ambiguity and experience working in a large matrix organisation across agile and traditional delivery.
  • Knowledge of TOGAF or an equivalent framework.

Desirable

  • Snowflake experience, including Cortex AI (LLM functions, Cortex Analyst, Cortex Search) and Snowpark ML.
  • Experience with event streaming (Kafka or Confluent) for real-time inference and model triggering.
  • Experience with Alation or a similar data catalogue.
  • Background in aviation, transport or another regulated, safety-critical industry.

There are many different opportunities across our team, which means you'll be able to grow both personally and professionally at Qantas. While you may start in this role, we've got a great track record of supporting our people to take their careers in many different directions. The destinations are endless.

Why Qantas?

If you’re successful in your application, you’ll join a team where creativity and passion are encouraged. Our people come together to allow us to dream big and deliver successfully.

There are many different opportunities across our team, which means you’ll be able to grow both personally and professionally at Qantas. Your development is a priority for us – so that you can maintain the high standards our customers have come to expect and can continue to develop over time. You’ll be supported from day 1 with on the job training and coaching as well as our formal training opportunities. While you may start in this role, we’ve got a great track record of supporting our people to take their career in so many different directions, the destinations are endless.

The Qantas employee benefits program offers amazing benefits that extend well beyond travel.

  • We love to travel: Enjoy discounted air travel within Australia and across the globe, both for you and your family and friends, as well as exclusive deals on accommodation and holidays.
  • We have flexible leave options: Make use of leave and flexible working opportunities including 18 weeks paid parental leave and additional purchased leave options.
  • We’ll give you access to thousands of rewards: Through our partnerships we can offer you discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment. You can also take advantage of our salary packaging for everything from motor vehicles to electronic devices.
  • We’ll support your wellbeing: Whether its learning to better support your own and others’ mental health, our interactive wellbeing app or your very own tailored nutrition plan.

Qantas is an equal opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. By coming to work for us, you’ll be part of an organisation that encourages diversity, supports charities and environmental initiatives. We encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. If you have any support or access requirements, we encourage you to advise us at time of application. Your personal information will be kept confidential in compliance with relevant privacy legislation.

Applications will close by 11th November

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