AI Architect, Global Insurance
Tasks
- Architect LLM based RAG solutions
- Architect cloud-based AI solutions
- Define data architectures for structured and unstructured insurance data
- Define end to end AI ML and Generative AI architectures
- Design AI solutions for underwriting claims and fraud
- Design agentic AI use cases
- Design predictive analytics and risk modeling
- Design scalable, secure APIs and microservices
- Ensure model performance explainability fairness and regulatory compliance
- Establish AI governance and responsible AI practices
- Evaluate and recommend LLMs and embedding models
- Fine-tune machine learning models
- Implement MLOps pipelines and model monitoring
- Implement event-driven architectures
- Implement prompt engineering strategies
- Mentor data scientists and ML engineers
- Oversee feature engineering and model lifecycle management
- Translate insurance business problems into AI use cases
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Flexible spending account
- Health insurance
- Health savings account
- Life and AD and D insurance
- Long-term disability
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
API Design | AWS | Azure | CI/CD | Deep learning | Embeddings | Event Driven | Event-driven architecture | Faiss | Feature Engineering | Fine Tuning | Generative AI | Google Cloud | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | Pinecone | Prompt engineering | PyTorch | Python | RAG | Responsible AI | Scikit-learn | Security | Statistical modeling | TensorFlow | Vector Databases | Weaviate
Education
N/A
Roles
Regions
Countries
States
Cities
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