AI Engineer – Life & Health Re (Advance with AI)

This is a remote position.

Job Title: AI Engineer – Life & Health Re (Advance with AI)

Experience

5+ years of experience, including:

• 2+ years hands-on experience building, calibrating and operationalizing AI/ML solutions
  
• Exposure to Data Science and model development (collaboration, implementation, validation), without requiring deep Data Scientist specialization
  
• Nice to have: 1–2 years exposure to insurance or reinsurance
  

Strategic Context – Advance with AI

Life & Health Re is embarking on an “Advance with AI” journey to embed AI-driven intelligence across end-to-end L&H operations and in-force management. Leveraging Swiss Re’s rich global data foundation, this initiative focuses on delivering production-grade AI capabilities that enable portfolio monitoring, reasoning-enabled recommendations, and actionable workflows, while meeting enterprise standards for governance, reliability, and cost efficiency.

The AI Engineer plays a critical role as the bridge between experimentation and production, ensuring AI solutions are safe, scalable, observable, and business-ready.

Role Summary

The AI Engineer is responsible for engineering, operationalizing, and governing AI solutions in production. While the role requires strong exposure to data science and model behavior, it does not require the candidate to be a Data Science expert. Instead, the focus is on turning models and experiments into reliable, well-governed production systems.

AI Engineering

·        Own and maintain prompt engineering strategies, including prompt versioning, testing, and optimization.

·        Design AI workflows that combine models, prompts, tools, enterprise data, and business logic.

·        Implement AI orchestration layers to manage multi-step reasoning, decisioning, and actions.

·        Ensure AI systems integrate cleanly into business workflows, APIs, and user interfaces.

·        Apply guardrails to ensure safe, explainable, and compliant AI behavior.

MLOps

• Support in building and maintaining production-grade deployment pipelines for AI solutions.
  
• Ensure reliability, scalability, cost control, and latency optimization.
  
• Implement monitoring and observability for AI systems (usage, performance, drift, failures).
  

·        Define and enforce change control, versioning, rollback, and release management processes.

Collaboration with Data Science & Business

• Collaborate closely with data scientists, actuaries and other business functions
  
• Validate model behavior, outputs, and assumptions from a production and business-use perspective.
  
• Communicate engineering limitations and operational considerations to stakeholders.
  

Required Skills & Experience

Core Skills

• 5+ years of experience in AI/ML engineering, advanced analytics, or advanced software engineering roles.
  
• Strong algorithmic and problem-solving skills.
  
• Strong programming skills in Python/PySpark and strong SQL expertise.
  
• Exposure to Data Science methods in validating AI models
  
• Palantir Foundry and AIP experience
  

LLM & Advanced AI Capabilities

• Hands-on experience with prompt engineering, prompt testing, and prompt lifecycle management.
  
• Experience implementing RAG architectures and similar approaches.
  
• Experience with AI orchestration frameworks, agentic patterns, and tool/function calling.
  

MLOps

• Strong understanding of model evaluation, calibration techniques, and monitoring.
  
• Familiarity with model explainability, fairness, and robustness.
  
• Experience with MLOps tooling and practices.
  

Platforms & Tools

·        Experience working in cloud environments (AWS, Azure, or GCP).

·        Experience integrating AI models into production systems with monitoring, logging, and alerting.

·        Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred).

·        is a strong plus.

Nice to Have

• Experience with agentic AI frameworks and enterprise-scale AI platforms.
  
• Experience working in insurance/reinsurance (e.g. Underwriting, Claims, Inforce management for L&H).