Senior AI Engineer
Actively Hiring
Full-time Posted 3 days ago
Responsibilities
- check_circle Facilitate LLM API (e.g., GPT, Claude) for enterprise use cases.
- check_circle Collaborate with business team to integrate GenAI into workflow and automation process such as document processing, document triage, quotation, claim, underwriting etc.
- check_circle Develop and maintain enterprise-level document RAG and LLM Knowledge Base.
- check_circle Lead behavior-driven design and spec-driven development principle, AI coding, AI testing and provide framework support and guidance to both business team and IT team.
- check_circle Develop AI Agent skills and AI-driven tools to improve data quality, documentation, logic traceability, reduce technical debt and modernize AIOps.
- check_circle Optimize prompt engineering and context engineering strategies for accuracy, relevance, and performance.
- check_circle Implement secure and scalable inference pipelines using Azure or AWS.
- check_circle Monitor model outputs for bias, hallucination, and compliance with Zurich’s security standards.
- check_circle Ensure AI applications comply with Zurich’s data protection and privacy policies, including handling of PII and consented data.
- check_circle Support GenAI workshops and internal enablement initiatives to promote AI adoption.
Basic qualifications
- Bachelor’s or Master’s in Computer Science, AI Engineering, or related field.
- Experience in deploying AI models into production environments.
- Proficiency in Python and TypeScript programming languages, and familiar with Langchain framework and Vecel AI toolkit.
- Familiarity with LLMs (e.g., GPT, Claude) APIs, prompt tuning, and GenAI deployment.
- Familiarity with spec-driven development framework such as OpenSpec and GitHub Spec-Kit.
- Strong understanding of enterprise application architecture and integration points.
- Knowledge of data privacy, compliance, and ethical AI standards.
- Familiarity with DevOps tools and containerization technologies, such as Jenkins, Azure Pipeline, GitHub Actions, Docker and Kubernetes.
- Proficiency with Git and GitHub workflows.
- Knowledge of cloud platforms and services, such as AWS and Azure, as well as experience in managing cloud-based infrastructure.
- Strong analytical and problem-solving skills.
- Excellent communication, documentation and collaboration skills, as well as the ability to work effectively in cross-functional teams.
- A deep understanding of agile methodologies and principles.
- Familiarity with security best practices and the ability to implement security measures in the software development lifecycle.
- A commitment to continuous learning and staying up-to-date with the latest industry trends and technologies.
- Self-motivated, proactive and responsible.
- Proficiency in English reading and writing skills, and the ability to use either English or Cantonese speaking as a working language.
Tags & Focus Areas
Ai Ai Engineer
About Zurich Insurance
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