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Mid-level popular title with GenAI demand and moderate company brand, yielding moderate competition.
Skills are transferable across industries, but insurance exposure and client-facing expectations increase domain specificity.
Explicit 2–10 years plus mandatory GenAI tooling (LangChain, VectorDB) and Agentic AI experience.
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Design and deploy scalable autonomous AI solutions enhancing business workflows such as claims processing, underwriting, customer servicing, and decision automation.
Collaborate closely with client and internal teams to maintain stakeholder relationships and identify growth opportunities.
Lead client working sessions, manage project status meetings, and ensure industry best practices in delivery.
Analyze structured and unstructured data to diagnose inefficiencies and solve domain-specific problems.
Bachelor's or Master's degree in economics, mathematics, computer science/engineering, operations research, or related analytics fields (top tier institutions considered for BA/BS).
2-10 years of professional experience in AI, Generative AI, or Machine Learning.
Hands-on experience with GenAI tools including AWS, Python, Langchain, Langgraph, VectorDB; plus knowledge of segmentation, advanced analytics, machine learning, statistical, data mining, NLP techniques, and Agentic AI frameworks.
Exposure to insurance analytics is mandatory.
Demonstrated expertise in designing and implementing production-grade Generative AI or Agentic AI solutions with measurable business impact.
Experience working directly with clients in fast-paced, evolving environments, capable of managing multiple stakeholders and cross-cultural teams.
Strong analytical problem-solving skillset combined with hands-on technical ability and excellent communication and presentation skills for client advisory roles.