AI & ML Engineer

Our opportunity

AI & ML Engineer #LI-Hybrid

We are looking for an experienced AI Engineer to join our Global Specialties organization, focusing on the Credit Lines / Underwriting domain.

In this role, you will own the design, development and rollout of AI use cases that streamline underwriting and credit processes. You will work closely with underwriters, data engineers, BI teams and technology stakeholders to turn business needs into secure, maintainable and scalable AI applications, primarily using Python-based AI, automation and analytics tooling. This role is ideal for a mid-level AI engineer who can work independently across the solution lifecycle, make sound technical decisions and guide use cases from discovery and prototyping through production and continuous improvement.

Your role

As an AI & ML Engineer, your main responsibilities will involve:

• Owning the end-to-end delivery of AI use cases that support underwriting and credit processes, from discovery and solution design through production rollout
• Designing and implementing AI automation workflows that integrate models, business rules, data pipelines and human review
• Developing maintainable Python applications, reusable components, APIs and services using sound software engineering practices
• Building and evaluating LLM-based solutions, including prompt workflows, retrieval-augmented generation and appropriate guardrails
• Structuring, validating and transforming data for reliable AI workflows and integrating solutions with internal systems
• Defining technical approaches, estimating delivery effort and communicating trade-offs, risks and dependencies to stakeholders
• Working with internal Data Lake, BI and analytics platforms, including Databricks or comparable environments
• Applying automated testing, code review, version control and CI/CD practices to improve solution quality and repeatability
• Monitoring solution performance, reliability, cost and business value, and driving continuous improvement based on evidence and user feedback
• Contributing to engineering standards, documentation and knowledge sharing, and supporting less-experienced colleagues when needed

Your Skills and Experience

As an AI & ML Engineer, your skills and experience will ideally include:

• Several years of hands-on experience delivering AI, machine learning, analytics automation or data-driven software solutions in a professional environment
• Strong Python software development skills, including modular design, object-oriented programming, package management, error handling, logging and performance-conscious coding
• Practical experience building AI automation workflows and integrating AI capabilities into business processes or enterprise applications
• Experience with Openshift/Kubernetes experience 
• Hands-on experience with LLMs and modern AI tooling, including evaluation, retrieval-augmented generation, prompt orchestration or agentic workflows
• Experience with data processing, validation and integration using Python and SQL
• Experience designing and developing REST APIs and services, for example with FastAPI

• Working knowledge of Git, automated testing, code review, CI/CD, containers and cloud-based development environments
• Ability to translate ambiguous business problems into pragmatic technical designs and deliver solutions with limited supervision
• Strong stakeholder communication skills and confidence working directly with underwriters, business users, data teams and technology partners
• A pragmatic delivery mindset, with the judgement to balance speed, maintainability, security and business value
  

Nice to have

• German language skills (both written and spoken)
• Prior experience in insurance, finance, underwriting or risk domains
• Experience with Databricks or a comparable cloud data and analytics platform
• Experience with MLOps or LLMOps practices, model or prompt monitoring, observability and cost management
• Knowledge of responsible AI, data privacy, security and governance in a regulated environment
• Experience mentoring colleagues, leading technical workstreams or establishing reusable engineering standards
  

We offer

Compensation for roles at Zurich depends on a wide array of factors including but not limited to the specific role, skill set, level of experience, and subject to applicable law. Zurich thus provides a range of compensation aligned to internal job architecture and market benchmarks to ensure fair and consistent pay for comparable roles. The starting base salary range for this position is 2330 Eur.

Working time benefitsPersonal days off, Concentrated work week, Additional vacation, Home office, Extra days off at occasion of childbirth, Sabbatical leave, Workcation

Monetary benefitsLife insurance from Zurich Austria, Compensation for salary loss during sick leave, 3rd pension pillar contribution, Risk Life Insurance, Meal contribution on top of the legally requiredminimum, Years of service bonus, Wedding bonus, Baby bonus

Other benefitsElectronic cafeteria, Maternity leave benefits, Massages in the office

Learning/Development
Professional Certifications, Online Education Portals, Extensive Onboarding program, Strengths based culture (GALLUP)

• Location: Bratislava
• Schedule: full-time
• Form:presence in the office min. 3 times per week

About us

At Zurich Insurance, we recognize the importance of fostering an open-minded, safe and inclusive environment for everyone. We stand with diversity and respect different backgrounds and lifestyles. That's why we've implemented numerous initiatives to ensure our employees feel comfortable, accepted and respected at all times.