AI Specialist – Insurance Innovation

Role Summary

Hands-on AI professional with 47 years of experience focused on building and deploying AI-driven solutions across the insurance value chain. This role emphasizes advanced AI techniques including LLMs, NLP, computer vision, and generative AI.

Key Responsibilities

• - Design and implement AI/ML models for underwriting, claims, and customer experience.
• - Develop generative AI solutions for policy summarization and agent assistance.
• - Deploy conversational AI and LLM-based chatbots for customer service.
• - Collaborate with business and IT teams to embed AI into workflows.
• - Enable AI-first insurance products and services.
• - Automate document understanding using OCR + NLP + LLMs
• - Fine-tune open-source LLMs like LLaMA, Use GenAI for policy summarization and customer communication etc.
• - Deploy conversational AI for customer service and agent assistance.
• - Apply computer vision for image-based claims assessment.
• - Implement AI-driven fraud detection and anomaly detection.
• - Build GenAI-powered knowledge retrieval for internal teams.

Required Skills & Expertise

• - Strong Problem-solving skills and first principal thinking
• - Strong in Python, TensorFlow/PyTorch, scikit-learn, and transformer-based models.
• - Experience with OCR tools and NLP pipelines.
• - Hands-on with LLM fine-tuning, prompt engineering, and RAG pipelines.
• - Familiarity with cloud AI platforms (Azure ML, AWS Sagemaker, GCP Vertex AI).
• - Basic SQL and data wrangling for modeling.

Preferred Qualifications

• - Bachelors/Masters in Computer Science, AI, Data Science, or related field from leading institutions
• - Certifications in AI/ML (e.g., AWS ML Specialty, Azure AI Engineer) are a plus.

What Were NOT Looking For

• Pure BI/reporting profiles .
• Candidates limited to basic analytics or dashboarding