Overview:
In this role you will design, develop, and deploy AI and machine learning solutions to improve business processes and customer experiences. You will work on LangGraph-based agentic AI workflows and production-scale ML systems, collaborating with cross-functional teams to operationalize models and monitor performance. The opportunity centers on cutting-edge AI, ML pipelines, and governance within an insurance-focused context. You will help scale data-driven decision making and contribute to impactful, measurable outcomes for the organization. Compensation / Benefits Medical Insurance Dental Benefits Vision Benefits PTO 401(k)
Responsibilities:
Design, develop, and deploy ML/AI solutions for complex business problems Build and optimize LangGraph-based agentic AI workflows Create scalable data science and ML pipelines Partner with engineering to operationalize AI models and services Monitor model performance and drive lifecycle improvements Develop experimentation frameworks and evaluate model effectiveness Collaborate with stakeholders to identify high-impact AI use cases Support MLOps best practices around deployment, monitoring, governance, and automation Present findings to technical and business audiences
Key requirements:
3+ years in Data Science, ML, or Applied AI Hands-on experience deploying models in production Experience with LangGraph and agent-based AI workflows Strong MLOps understanding Experience building/testing ML pipelines Python proficiency with ML frameworks Experience with LLMs and generative AI Model monitoring, evaluation, and performance optimization Experience with cloud platforms (AWS, Azure, or GCP) Strong communication and stakeholder management strong communication stakeholder management collaboration LangGraph agent-based AI workflows MLOps