Senior AI Engineer

Requirements

• Proven expertise in Generative AI: LLMs, agents, embeddings/rerankers, vector databases, and prompt design/evaluation.
• Strong software engineering fundamentals including developing in Python and experience with asynchronous frameworks (FastAPI), testing & mocking, and CI/CD.
• Strong data engineering & MLOps fundamentals including designing and querying relational (SQL) and NoSQL databases, feature stores, model/registry versioning, offline/online evaluation, and golden datasets.
• Experience with cloud platforms (AWS - preferred, Azure, or GCP) and containerisation (Docker, Kubernetes). Experience with IaC (Terraform/CloudFormation) advantageous.
• Security, privacy, and compliance in enterprise settings; comfort working with sensitive data and regulated environments.
• A growth mindset: curiosity, experimentation, and the drive to turn ideas into robust, maintainable systems.
• Strong experience designing, building and scaling Generative AI services and applications
• Advanced Python engineering skills, with experience developing secure, production-ready systems
• Hands-on experience with LLMs, agents, embeddings, rerankers, vector databases, RAG pipelines, and prompt design or evaluation
• Experience taking AI solutions from proof-of-concept through to reliable, scalable, production-ready services
• Strong software engineering practices, including testing, mocking, CI/CD, APIs, and ideally asynchronous frameworks such as FastAPI
• Experience with cloud platforms, preferably AWS, and containerisation tools such as Docker or Kubernetes
• Understanding of responsible AI practices, including safeguards, guardrails, monitoring, governance, privacy, security, and working with sensitive enterprise data
• Strong communication and collaboration skills, with a curious, experimental mindset and the drive to turn emerging AI opportunities into robust, maintainable solutions
• Ready for take-off?
• If you're excited by the opportunity to work with cutting-edge AI technologies, turn ideas into robust production-ready systems, and help shape how Generative AI is used across Air New Zealand, we'd love to hear from you.
• Applications close 3 July 2026.
• Whāia te pae tawhiti kia tata. Ko te pae

Benefits

Additional Information

Kia ora! At Air New Zealand, we're constantly evolving, embracing innovation and pushing boundaries to create extraordinary experiences for our customers and employees. As we continue to grow and transform, we're seeking individuals who are passionate about making a difference and playing a key role in our journey. This is why we are excited to offer the opportunity to join our Digital team and help design, ship and scale business-changing Generative AI solutions. This is a hands-on role where you'll balance coding and cutting-edge AI. You'll help drive the engineering of reliable, secure, and high-performing AI services, while mentoring others and influencing Air New Zealand's AI strategy. Your work will directly support innovations such as personalised digital experiences, smarter operations, and AI-assisted employee tools that make travel simpler, smarter and more sustainable. The Role You'll Play As a Senior AI Engineer, you will: Design, build, and maintain Generative AI services and applications in Python, from proof-of-concept to production. Design and implement robust AI solutions, integrating enterprise data, tools, and platforms securely to deliver reliable, scalable business outcomes. Implement safeguards, guardrails, monitoring, and governance for responsible AI usage. Collaborate with business teams to identify opportunities where Generative AI can deliver value. Stay ahead of emerging GenAI technologies and bring innovative approaches into practice

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