AI Platform Engineer

About RenaissanceRe

For over three decades, RenaissanceRe has helped its clients manage the risks of operating in a volatile and uncertain world. We’re experts in Property, Casualty, Specialty, and Credit reinsurance, consistently recognized for the innovative way we combine data, experience and technology to understand and manage large and complex risks across the world. We are also a business with a real social purpose - we help protect communities around the globe and enable prosperity for all. Our purpose drives us forward every day as we seek solutions to some of the world's most complicated challenges.    To learn more, please visit us at Careers - RenaissanceRe (renre.com).

About Innovation and Technology

Innovation and technology are essential to our success at RenaissanceRe. We believe in strong business and IT alignment, working closely together to develop leading capabilities to support our globally integrated operating model.  This joined-up thinking and passion for continuous improvement helps drive our cutting-edge systems – and it’s something we’re recognized for externally. From the start, our business has been founded with technology and data innovation at its heart. Today, we continue to invest in advanced risk and portfolio insights enabled by serverless financial modelling, a data mesh architecture, and artificial intelligence with innovative partners. The impressive scalability and performance this has enabled has helped us achieve industry-leading results.

RenRe offers a unique environment. We’re developing next generation technology that has real world impact. Working side-by-side with industry-leading risk specialists, we help to solve complex problems that help protect communities around the world. A tech-savvy career at RenaissanceRe is continually evolving, innovative and highly rewarding.  Our primary offices are in Bermuda, London, New York, Zurich and Dublin.

About the Position

The AI Platform Engineer will be a member of the AI Platform Engineering team, reporting to the VP, Data Science & AI Engineering.  The team builds and runs RenRe’s internal AI platform – the shared toolkit, services, and golden paths that let teams across the business develop and operate AI solutions safely.  This year, we are focused on extending self-serve AI capabilities and hardening the platform that supports business solution teams across Claims, Operations, Underwriting, Finance, Legal, Investments and Corporate functions.

This hands-on AI Platform Engineer role is based in the Dublin office, with occasional travel to other RenRe offices as required.

Responsibilities will include:

• Develop re-usable components and tools and make them accessible for consumption

• Support POC’s to evaluate 3rd Party and open-source capabilities, testing capabilities and technical fit against build options

• Leverage DevOps skills to create secure and scalable deployments for AI tools and capabilities

• Support development or provisioning of security, compliance, privacy and responsible AI controls

• Build and maintain integrations between the AI platform and enterprise systems, data platforms, and business applications

• Operate and extend deployment, monitoring, and governance capabilities for AI solutions, keeping them scalable and reliable

• Implement and extend testing, evaluation, and quality-assurance frameworks for AI applications

• Implement and operate security, compliance, privacy, and responsible-AI controls across the platform

• Support teams to optimise the performance, reliability, and cost efficiency of AI workloads

• Produce technical documentation, and apply and help refine platform standards and best practices

• Partner with product, platform, data, and engineering teams to support and accelerate adoption

To be successful in this role, essential skills and experience include:

Software engineering and cloud:

• Strong software engineering in Python, with experience building APIs, microservices, and cloud-native services

• Cloud-native development and containerisation with Docker; our platform runs primarily on AWS (Bedrock, AgentCore)

• Familiarity with CI/CD and platform-engineering practices

AI and LLM application development:

• Hands-on experience developing AI agents, RAG frameworks, tool/function calling, and multi-step workflows

• Practical experience with at least one AI orchestration framework (e.g. LangGraph, CrewAI)

• Working knowledge of vector databases and retrieval systems (e.g. Qdrant, PGVector)

Security and governance:

• A working understanding of security, identity, and access control as applied to services, models, tools, and integration endpoints

• Awareness of data-handling, privacy, and responsible-AI considerations when working with model providers

Desirable / nice to have:

• AI observability, evaluation, and monitoring tooling (e.g. LangSmith, Braintrust, DeepEval)

• Orchestration with Kubernetes

• Enterprise integration patterns and robust API design

• MLOps / LLMOps experience beneficial

• Exposure to more than one major cloud beneficial

• Experience applying governance and compliance controls in a regulated industry

• Systems thinking, with a bias toward reusability, scalability, and developer experience

This role is ideal for someone who is hands-on, enjoys working with cutting-edge technologies and has a passion for creating efficient, innovative solutions in fast changing ecosystem, preferably with exposure to Insurance / Re-insurance.

Key Relationships

• Reports to: VP, Data Science & AI Engineering

• Key Stakeholders:  AI solution & domain engineering teams

• Key Partners:   IT leads, IT security & partner vendors

Leadership Competencies & Values:

• Impact:  Sets clear objectives identifying the impact desired and aligns activities accordingly.

• Execution: Proactively identifies resources, actions and timelines needed to achieve objectives, effectively balancing tactical pressures with strategic priorities.

• Communication: Shares relevant information in a timely manner with team and stakeholders and conveys points of view in a way that influences opinions and demonstrates flexibility

• Client and solutions focus:  Identifies process and service opportunities that enhance the external and internal client experience and outcomes

• Innovation:  Stretches self and others to think differently and innovatively, drawing upon multiple sources for ideas and inspiration

• Learning mindset:  Seeks out and explores new assignments, exposure, or challenges in order to enhance skills

• Values:  Exemplifies and champions RenaissanceRe’s core values of Focus, Respect, Integrity, Precision, Passion

We believe that meeting these requirements will position you for success in the role. However, if you fulfill most – but not all – of the expectations, we still encourage you to apply, as we are eager to explore your potential and believe in the ability to grow and learn.

At RenaissanceRe, we believe in creating a workplace culture that fosters diversity, equity, and inclusion throughout our business. We have a zero-tolerance policy for harassment and discrimination and take proactive steps to make employees feel valued and empowered to contribute to our collective success. It is RenRe’s policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/ civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.