AI Engineer – Life & Health Re (Advance with AI)
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Job Location:
Monthly Salary:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
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: 12 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 Res 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).
Required Skills:
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).
Company Industry
IT Services and IT Consulting
Key Skills
- Environment
- Anatomy
- Fisheries
- Morphology
- Behavioural Sciences
- Biophysics
- Evolution
- Forestry
- Ecology
- Biotechnology
- Agriculture
- Biochemistry
- Biology
- Ecosyatem
- Entomology
