Top AI & Machine Learning Jobs in Boston, MA

Design and lead Generative AI solutions for Investments: map LLM capabilities to business needs, architect secure scalable systems, prototype production Python services on AWS, mentor engineers, coordinate with product, compliance, and central GenAI teams, and establish engineering standards for observability, cost, and secure development.

Own backlog prioritization and delivery for AI platform capabilities (MCP connectors, ingestion pipelines, platform enablement). Translate prototypes into requirements, coordinate delivery across Technology, Security, and Investment teams, monitor production health, run UAT, manage governance (RAIC) submissions, and drive iterative improvements and documentation to support adoption.

Lead Specialty Product Design and Modeling as the data science representative on a multi-year platform transformation. Own Specialty rating program requirements, advance modeling research, test new data sources and techniques, support high-priority modeling work, and communicate results to senior leaders and cross-functional teams.

Lead and scale a data engineering and analytics platform team to deliver Snowflake and Databricks-based AI/ML solutions. Drive architecture, build AI-powered data agents, ensure data pipelines, governance, and platform reliability, and partner cross-functionally to align delivery with business goals while developing talent and vendor/offshore strategies.

Lead end-to-end development and production deployment of ML solutions for claims, using structured and unstructured data. Mentor junior data scientists, follow MLOps best practices, design experiments, engineer features, select algorithms, and communicate results to stakeholders. Contribute to cross-functional initiatives and apply modern ML (including LLMs and computer vision) to improve claims efficiency and outcomes.