Lead AI Engineer at MassMutual summary:
The Lead AI Engineer at MassMutual designs and deploys advanced AI and machine learning solutions to support strategic business decisions and drive transformation across the enterprise. This role involves leading AI projects using generative AI, large language models, and deep learning while collaborating with cross-functional teams and mentoring junior staff. The position requires strong technical expertise, hands-on deployment experience, and the ability to communicate complex AI concepts to stakeholders.
MassMutual’s Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design and deployment of advanced AI solutions that drive strategic decision-making and business transformation. You’ll apply cutting-edge techniques in machine learning, generative AI, and large language models (LLMs) to solve complex, high-value problems across the enterprise.
This is a unique opportunity to work alongside experts in applied mathematics, statistics, computer science, and physics—collaborating on initiatives that shape the future of MassMutual and the life insurance industry at large.
Overall
Responsibilities:
Architect and lead end-to-end ML/AI solutions
s
upporting various use cases for a large enterprise
using
LLMs, deep learning, and probabilistic modeling—from ideation to production
.
Deploy scalable
GenAI
and Agentic AI
systems
that directly support business goals.
Establish and promote best practices
in AI development
and
responsible AI
deployment
.
Drive innovation
by
identifying
emerging
technologies and translating research into practical applications.
Collaborate with engineering teams
to build robust, production-grade AI pipelines and APIs.
Prototype and deliver AI-powered applications
(e.g., web apps, dashboards, visualizations) that enable data-driven decisions.
Influence senior leadership
by aligning AI initiatives with enterprise strategy and communicating insights effectively.
Mentor and develop junior talent
, fostering a culture of technical excellence and continuous learning.
Candidate Requirements:
Recognized industry
expertise
in AI/ML, with
a track record
of delivering impactful solutions.
7+ years of experience
in data science, machine learning, or AI engineering roles.
Deep understanding
of machine learning, statistics, NLP, optimization, and LLMs.
Hands-on experience
with AI deployment
and orchestration
frameworks
and protocols
(e.g.,
MLflow
,
llama-index,
MCP
).
Extensive experience testing
LLM behavior
across a variety of foundation models and benchmarks.
Experience building AI-powered applications
and collaborating with software engineers
and product managers.
Strong programming skills
in Python.
Proficiency
in R is a plus.
Proficiency
in SQL and database design
; familiarity with cloud-native data platforms
, vector databases, and semantic search
is a plus.
Exceptional communication skills
, with the ability to explain complex concepts to non-technical stakeholders.
Education:
M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.
#LI-MC1
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
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Keywords:
Lead AI Engineer, machine learning, generative AI, large language models, deep learning, AI deployment, data science, enterprise AI solutions, Python programming, responsible AI