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AI Prompt Engineer
2 months ago
We are seeking a highly skilled and innovative AI Prompt Engineer to join our team at SANS Consulting Services, Inc. as an Insurance Underwriting Specialist. The ideal candidate will have extensive experience in Submission and Evaluation processes, Loss Assessment, and a profound understanding of General Artificial Intelligence (Gen AI).
Key Responsibilities- Design and Develop AI Prompts: Create tailored AI prompts for insurance underwriting processes to enhance efficiency and accuracy.
- Collaborate with Underwriting Teams: Work closely with underwriting teams to understand submission requirements and create intelligent prompts for efficient data collection.
- Streamline Submission Process: Utilize AI-driven tools to streamline and optimize the submission process, reducing manual effort and increasing accuracy.
- Evaluate and Analyze Underwriting Submissions: Evaluate and analyze underwriting submissions, utilizing AI algorithms to assess risk factors and provide data-driven insights.
- Assess Potential Losses: Utilize AI models to assess potential losses and predict risk scenarios, enabling proactive risk mitigation strategies.
- Develop Loss Assessment Strategies: Develop and implement loss assessment strategies to identify and mitigate risks, ensuring the accuracy and reliability of underwriting decisions.
- Integrate AI Models: Work closely with IT and AI development teams to integrate AI models into underwriting systems seamlessly, ensuring compatibility and efficiency.
- Stay Up-to-Date with Industry Trends: Stay abreast of industry trends and advancements in Gen AI, applying relevant innovations to improve underwriting practices and enhance business outcomes.
- Bachelor's or Master's Degree: A degree in Computer Science, Data Science, or a related field is required.
- Proven Experience: Proven experience in insurance underwriting with a focus on Submission & Evaluation and Loss Assessment is essential.
- Strong Background in AI: A strong background in developing and implementing AI models, particularly in the field of insurance, is required.
- Familiarity with Gen AI: Familiarity with General Artificial Intelligence concepts and applications is necessary.
- Excellent Programming Skills: Excellent programming skills, with proficiency in languages such as Python, R, or Java, are required.
- Effective Communication Skills: Effective communication skills to collaborate with cross-functional teams and convey complex AI concepts to non-technical stakeholders are essential.
