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).