GenAI Architect

Required Skills: LLMs, RAG architecture, and agent

AI frameworks

• PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
• 3+ years of hands-on ML modeling/development experience
• Background in insurance and underwriting preferred
• Solid understanding of data analysis and statistical modeling.
• Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Demonstrated track records in experimental design and executions
• Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions
• Strong programming skills in Python
• Solid background in algorithms and a range of ML models
• Excellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
• Excellent analytical and problem-solving abilities with superb attention to detail
• Proven experience in providing technical leadership and mentoring to data scientists and strong project management skills with ability to monitor/track performance for enterprise success
• Experience communicating complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners.
• Working knowledge of core software engineering concepts (version control with Git/Git Hub, testing, logging, ...).
• Working knowledge of NLP, LLMs, RAG architecture, and agent frameworks, including safe automation design and evaluation systems.
• Experience in insurance, financial services, or related industries is a plus