What are the responsibilities and job description for the AI Prompt Engineer for Insurance/Underwriting position at SANS?
Seeking candidates who attended high school and college in America. Seeking candidates worked more than 10 years at USA Companies. Looking for candidates with 15-25 years of working experience with most of the experience SPECIALIZATION within P&C (Property and Casualty Insurance) business. THIRD PARTY CONTRACTORS are okay if you have been working in USA for OVER 10 yearrs.
Job Title - AI Prompt Engineer - Insurance / Underwriting
Location - Hybrid
Duration - 12 Months
Add knowledge of open source, open weighted and closed LLM models
Knowledge of tokenization
- Need to have more experience in Prompt Engineering and Design. Written custom prompts to get desired output during interaction (live or batch) using LLM
- Language skills are important
- Hands – on experience in chunking the content
- Must have Experience with Claude work, GitHub copilot and copilot suite of products
- Certification or Claude architect is desirable
- Working knowledge of vector and graph database, ontology is a must
Overview: We are seeking a highly skilled and innovative AI Prompt Engineer with a specialization in Insurance Underwriting. The ideal candidate will have extensive experience in Submission and Evaluation processes, Loss Assessment, and a profound understanding of General Artificial Intelligence (Gen AI). The candidate will play a crucial role in enhancing our underwriting capabilities by leveraging advanced AI technologies.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience in insurance underwriting with a focus on Submission & Evaluation and Loss Assessment.
- Strong background in developing and implementing AI models, particularly in the field of insurance.
- Familiarity with General Artificial Intelligence concepts and applications.
- Excellent programming skills, with proficiency in languages such as Python, R, or Java.
- Effective communication skills to collaborate with cross-functional teams and convey complex AI concepts to non-technical stakeholders.
Responsibilities:
- Design and develop AI prompts tailored for insurance underwriting processes.
- Collaborate with underwriting teams to understand submission requirements and create intelligent prompts for efficient data collection.
- Streamline and optimize the submission process using AI-driven tools to enhance efficiency and accuracy.
- Evaluate and analyze underwriting submissions, utilizing AI algorithms to assess risk factors and provide data-driven insights.
- Utilize AI models to assess potential losses and predict risk scenarios.
- Develop and implement loss assessment strategies to proactively identify and mitigate risks.
- Work closely with IT and AI development teams to integrate AI models into underwriting systems seamlessly.
- Ensure the compatibility of AI algorithms with existing underwriting workflows.
- Demonstrate expertise in General Artificial Intelligence, exploring and implementing cutting-edge AI technologies to enhance underwriting processes.
- Stay abreast of industry trends and advancements in Gen AI, applying relevant innovations to improve underwriting practices.