Senior Lead Engineer - AI

• 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 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
  

Location:

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday