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Internal-only hiring for a niche GenAI role reduces external applicant competition.
GenAI skills transfer across industries, but insurance analytics preference increases domain-specific bias.
Explicit 2–10 years plus mandatory GenAI/LLM, LangChain, VectorDB and insurance analytics increases filter strictness.
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Drive design and deployment of autonomous AI solutions improving business workflows like claims processing and underwriting.
Develop and manage relationships with clients to identify growth opportunities and ensure delivery of AI projects.
Analyze structured and unstructured data to address functional area problems and lead issue resolution and project meetings.
Bachelor’s or Master’s degree in economics, mathematics, computer science/engineering, operations research, or related analytics fields; top-tier BA/BS degrees also accepted.
2-10 years of experience in AI, GenAI, and Machine Learning.
Hands-on experience with GenAI tools such as AWS, Python, Langchain, Langgraph, VectorDB and familiarity with segmentation, advanced analytics, ML, statistical, data mining, NLP, and Agentic AI frameworks including Crew AI.
Exposure to insurance analytics industry.
Experienced in working closely with clients and stakeholders to establish trusted advisory relationships and uncover business growth areas.
Capable of functioning as an individual contributor in fast-paced, continuously evolving environments with cross-cultural global teams.
Strong analytical skills coupled with practical experience in GenAI and Agentic AI, focused on delivering scalable, production-grade AI solutions to business problems.