Develop, deploy, and maintain agentic AI products using LangChain and LangGraph V1 frameworks in production environments
Design and implement sophisticated memory management systems
Architect and operationalize evaluation frameworks and observability tools
Design and manage relational and non-relational data models
Develop and implement ETL pipelines leveraging Databricks
Build, deploy, and manage containerized applications using Kubernetes
Continuously monitor and optimize AI system performance, reliability, and scalability
Lead ideas in machine learning and AI
Communicate complex data in a simple and actionable way
Manage day-to-day operations of junior staff members
Ensure responsibilities are performed in a timely, consistent, responsive manner

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
10+ years of experience
Proven experience with LangChain and LangGraph V1 frameworks
Strong expertise in designing memory management architectures for agentic AI
Demonstrated experience in designing and implementing evaluation (evals) and observability systems
Deep knowledge of relational and non-relational data models
Hands-on experience with ETL development and implementation using Databricks
Advanced skills in building and deploying containerized applications using Kubernetes
Strong programming skills in Python
Familiarity with AI/ML frameworks and tools
Excellent problem-solving skills
Experience with cloud platforms such as AWS, Azure
Familiarity with CI/CD pipelines and infrastructure as code
Background in AI ethics, fairness, and responsible AI deployment
Prior experience in financial services or risk management industries

Senior Manager – Data Science

Key skills