MassMutual's AI and Data Science team is seeking an AI Engineer to design, build, and deliver end-to-end AI/ML solutions for complex enterprise business problems. The role involves applying machine learning, generative and agentic AI, and LLM-based techniques, owning initiatives from problem framing through production deployment. The team works at the intersection of cutting-edge research and enterprise delivery, partnering with technology and business stakeholders across the organization.
Responsibilities
Design, build, and deliver end-to-end AI/ML solutions using LLMs, deep learning, agentic AI, and probabilistic modeling.
Frame and scope AI problems independently, defining success metrics and evaluation criteria with stakeholders.
Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking, and quantitative analysis.
Build rapid prototypes and advance validated solutions into production-grade applications.
Apply best practices in AI development, responsible AI deployment, and production engineering.
Communicate findings clearly to technical and non-technical stakeholders.
Requirements
4+ years of experience in data science, machine learning, or AI engineering, delivering AI/ML solutions independently and at scale.
Experience across machine learning, statistics, NLP, LLMs, generative AI, agentic architectures, prompt engineering, and LLM evaluation.
MassMutual (Massachusetts Mutual Life Insurance Company) is a mutual life insurance and financial services company founded in 1851. It provides a broad suite of protection, wealth management, and retirement solutions for individuals, families, and institutions.