Senior Lead Engineer - AI

Key Responsibilities 

• Be an Individual Contributor supporting the use case development that includes initial data exploration, project/sample design, reception, and processing of data, performing analysis and modeling to creation of final report/presentation 

• Utilizing GenAI techniques like entity extraction, text summarization , retrieval augmented generation etc to augment and enrich the existing data 

• Create Agentic AI solution using frameworks like LangGraph, CrewAI etc 

• Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs  

• Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps 

• Create AI Testing and Bias Testing process/tools 

• Implement new statistical or other mathematical methodologies as needed for specific models or analysis. 

• Contribute to standardization of Data Science tools, processes, and best practices 

• Propose innovative ways to look at problems through using data mining and data visualization 

• Manage business stake holders from ideation to deployment and aftercare 

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. 

• Present information using data visualization techniques; communicate results and ideas to key decision makers. 

• Ensure data accuracy and consistent reporting by performing regular data quality control, prepare and maintain reports, and troubleshoot data anomalies 

• Stay current with developments in ML and AI innovations, industry trends, challenges, and potential market opportunities 

You are: 

You are passionate about cutting-edge technology and keen on applying GenAI  algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.  You are mostly an Individual Contributor who enjoys  cracking hard to solve problems with recent LLMs and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. 

You have: 

• PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 

• 7+ years of hands-on ML modeling/development experience 

•  Experience in creating GenAI and Agentic AI applications  

• Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding 

• 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 

• Strong skills in Python, PyTorch, Langchain, LangGraph etc 

• Solid background in algorithms and a range of ML models 

• Excellent communication skills and ability to work and collaborating 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 leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success