AI Engineer

MassMutual

AI Engineer designing and delivering AI solutions for MassMutual's Data Science team. Contributing to high-performing projects and collaborating with cross-functional teams.

Posted 6/26/2026full-timeSpringfield • Massachusetts, New York • 🇺🇸 United StatesMid-LevelSenior💰 $141,300 - $185,400 per yearWebsite

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI solutionsML solutionsdeep learningprobabilistic modelingNLPLLMsgenerative AIprompt engineeringmodel integrationAPI development

Soft Skills

collaborationproblem framingevaluation criteria definitionquantitative analysisrigorous evaluationcommunication

Tools & Technologies

cloud-based infrastructureproduction engineeringrapid prototypingbenchmarking

Industry Keywords

data scienceAI engineeringproduction AI systemsfoundation modelsclean codewell-tested code

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs, deep learning, agentic AI, and probabilistic modeling
Frame and scope AI problems independently, defining success metrics and evaluation criteria in collaboration with stakeholders before and during solution development
Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across models, and quantitative analysis
Build rapid prototypes to test AI approaches and advance validated solutions into production-grade applications
Apply best practices in AI development, responsible AI deployment, and production engineering

Requirements

What you’ll need

4+ years of experience in data science, machine learning, or AI engineering
4+ years of experience across the following areas: Machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluation of LLM performance across foundation models
Building and deploying production AI systems, including model integration, API development, and cloud-based infrastructure
Python programming, with the ability to write clean, well-tested, production-quality code
Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field

Benefits

Comp & perks

Regular meetings with the AI & Data Science team
Focused one-on-one meetings with your manager
Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
Access to learning content on Degreed and other informational platforms