Lead AI Engineer

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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