Machine Learning Engineer at Zurich Canada

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Cloud Engineering, Machine Learning, Python, API Integration, Infrastructure as Code, CI/CD Pipelines, LLM Prompting, Containerisation, MLOps, LLMOps, Agentic AI, Quality Engineering

Industry

Insurance

Description

A new transformational adventure awaits you… How does 5 weeks of annual leave, a fulfilling career you'll genuinely enjoy, and working for a reputable organization that promotes wellbeing and drives digital transformation sound to you? As one of Forbes 2024 ‘World’s Best Employers’ and Fortune’s ‘World’s Most Admired Companies’ for 2025, Zurich - a leader in the insurance industry, is on a journey towards a brighter future… A brighter future for you - focused on your career, your wellbeing, and your community - as well as our customers and the planet. Join us on this thrilling journey as we work towards our vision of becoming Australia's leading digital insurer. If you're eager to be part of a values-driven global organisation that's experiencing real growth and transformation, and if you share our commitment to making a tangible difference and taking continuous steps towards a sustainable future for our people, customers, communities, and our planet, then keep reading! Let’s create a brighter future together, let’s make a difference It’s important to know, what you do matters. At Zurich, we don’t just cover, we care. As a Machine Learning Engineer (Agentic AI), you’ll play a key role in building and running LLM-powered applications and intelligent agents that improve how our customers and colleagues interact with Zurich. You’ll sit within our AI Platforms team, partnering closely with senior engineers, Tech Leads and product teams to turn emerging AI capability into practical, secure, and reliable solutions. This role exists to help us responsibly scale agentic AI across the organisation. You’ll contribute to systems that are designed for real-world use, with a strong focus on operational readiness, quality engineering, and continuous improvement as we progress our technology transformation. You will also be responsible for the following: Build and maintain core components for agentic AI solutions, including orchestration flows, prompts, routing patterns, and structured outputs Contribute to the delivery and productionisation of LLM and agent features in partnership with senior engineers and architects Integrate AI solutions with internal services and data sources using APIs and basic resiliency patterns Support LLMOps and MLOps automation across CI/CD, environments, and release practices Implement practical guardrails such as grounding, validation, and permission-aware access Embed quality engineering practices including testing, documentation, and secure coding Important to your success – let’s grow togetherYou’re curious, pragmatic, and motivated by impact. You enjoy working collaboratively, balancing experimentation with responsibility, and you’re comfortable engaging with a broad range of stakeholders to turn ideas into outcomes. In order to be successful, you will have the following: Proven experience in AWS Cloud Engineering, designing and operating secure, scalable cloud-based services Hands-on experience delivering ML or AI-enabled features into production environments Strong engineering fundamentals using Python, APIs, and data-focused technologies Experience with Infrastructure as Code and CI/CD pipelines in an enterprise setting Exposure to LLM-based applications, including prompting and structured outputs Experience working with containerisation and deployment automation Belong. Zurich is here to support you There are so many reasons why Zurich is a great place to be and the right choice for you, but here are just a few. Enjoy 5 weeks of annual leave for permanent staff through our Z leave initiative, along with 15 days of personal/carer’s leave as we empower our people to manage their own wellbeing. Plus, access to Family Care (parental leave). Benefit from a hybrid working arrangement – 3 days in the office and 2 days working from home per week for full-time employees. Access programs to stay healthy and feel healthier, receive an AUD$500 wellbeing payment per year, and a AUD$295 new starter e-voucher for your work-from-home setup (flex work - hybrid working), along with other great benefits through our Shine portal. Grow and thrive in your career with our award-winning training programs. We support and encourage your development because our strength lies in our people, and we value your individuality. Work with global, diverse, and inclusive teams; explore your passions, fuel innovation, drive equity, collaborate, and make a positive difference beyond your role. Take advantage of global mobility opportunities across more than 200 countries worldwide. Volunteer and work in our state-of-the-art Green Star rated offices (when you are in the office) and dress for your day. We plant a tree for every new employee. Not to mention our various employer of choice awards/memberships – WGEA; Family Inclusive Workplace; Gold AWEI Employer, Pride in Diversity… to name a few. We could go on, but the main point is that Zurich is a great place to be, where you can truly belong, be yourself, maintain work/life balance, and thrive in a supportive environment. Zurich is an equal opportunity employer.  We are committed to ensuring that our recruitment process is fair and accessible for all candidates. If you require any special accommodations to participate in our recruitment process, we encourage you to please let us know at the time of your application. So, if you want to come on an adventure that will build a brighter future together, and feel a sense of togetherness, then please apply today to start your adventure!

Responsibilities

Build and maintain core components for agentic AI solutions, including orchestration flows and LLM-powered applications. Partner with senior engineers to productionise AI features and integrate them with internal services and data sources.