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About the Role

Lead AI Agent development lifecycle end-to-end, shaping AI engineering standards and driving technical delivery from discovery and experimentation through design, build, and reliable production operations. Build scalable, secure, maintainable full-stack agentic solutions and contribute to AI Agent and Agentic Platform strategy, focusing on AIOps/DevSecOps, AI observability, evaluation, reliability, resilience, and proactive cost management. Collaborate with product, design, SMEs, and engineers to align on shared frameworks, deliver reusable capabilities, and uplift engineering practices.

Responsibilities

• Leading end-to-end AI agent development from discovery through to reliable production outcomes
• Setting and uplifting AI engineering standards, practices and ways of working across squads
• Driving secure, scalable and observable AI-native solutions that perform in production
• Partnering closely with product, design and business stakeholders to solve meaningful problems
• Supporting and mentoring engineers to build capability, confidence and engineering excellence
• Championing reuse, shared platforms and frameworks to accelerate delivery and consistency

Requirements

• 10+ years’ cloud-native full-stack experience (React/Next.js; TypeScript/Python)
• Hands-on AI engineering (RAG, LLM agent orchestration using frameworks such as LangChain/CrewAI/LangGraph; vector databases; evaluation and grounding)
• Strong AWS and Infrastructure as Code (e.g., ECS/Lambda/Terraform)
• Mature CI/CD, security automation, and quality engineering (e.g., GitHub Actions/GitLab CI, LaunchDarkly, Playwright, Langfuse/Dynatrace)
• Extensive experience leading full stack engineering in cloud-native environments
• Proven hands-on experience building and running AI or agentic systems in production
• Strong capability across modern AI engineering, including orchestration, evaluation and observability
• Deep experience with DevSecOps, CI/CD and production ownership in regulated environments
• Solid cloud engineering experience, ideally across AWS and infrastructure as code
• Experience working in product-led, agile teams delivering customer-focused outcomes
• Experience in insurance or other regulated industries is a plus

Skills

• React
• Next.js
• TypeScript
• Python
• RAG
• LLM agent orchestration
• LangChain
• CrewAI
• LangGraph
• Vector databases
• Evaluation
• Grounding
• AWS
• Infrastructure as Code
• ECS
• Lambda
• Terraform
• CI/CD
• Security automation
• Quality engineering
• GitHub Actions
• GitLab CI
• LaunchDarkly
• Playwright
• Langfuse
• Dynatrace
• DevSecOps
• AIOps

Location

• Hybrid

Work Type

• Hybrid
• Full-time

Experience Level

• 10+ years

Benefits

• 5 weeks of annual leave for permanent staff
• 15 days of personal/carer’s leave
• Access to Family Care (parental leave)
• Hybrid working arrangement (3 days in office, 2 days WFH)
• Programs to stay healthy
• AUD$500 wellbeing payment per year
• AUD$295 new starter e-voucher for work-from-home setup
• Award-winning training programs
• Global mobility opportunities
• Volunteer opportunities
• State-of-the-art Green Star rated offices
• A tree planted for every new employee

About the Company

• Forbes 2024 ‘World’s Best Employers’
• Fortune’s ‘World’s Most Admired Companies’ for 2025
• Leader in the insurance industry
• Values-driven global organisation experiencing real growth and transformation
• Committed to making a tangible difference and taking continuous steps towards a sustainable future

Equal Opportunity

• Zurich is an equal opportunity employer.
• 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.