AI Engineer

SwiftCruit; Boston (MA); On-site; USD 113,000 - 148,000; Full time

Job summary

MassMutual's AI & Data Science team seeks an AI Engineer to design, develop, and evaluate AI/ML solutions addressing high-value business problems. You’ll work on defined problems with increasing ownership, supported by a team of experienced practitioners.

In this hybrid role, you will deploy AI-powered applications, experiment with LLM-based and classical ML approaches, and collaborate with stakeholders to translate analyses into actionable insights, while growing technical judgment.

Qualifications

• Bachelor’s degree in CS, Statistics, Applied Mathematics, or a related quantitative field.
• Experience with data science, ML, AI, or AI engineering concepts through coursework, internships, or projects.
• Experience programming in Python with readable, functional code.
• Understanding of AI/ML development workflow (data prep, model training, evaluation, deployment).

Responsibilities

• Develop, evaluate, and deploy AI/ML models and systems for defined business use cases.
• Apply generative AI and agentic techniques (LLMs, RAG, prompt engineering) to business problems.
• Conduct experiments and quantitative analyses to evaluate model performance.
• Collaborate with cross-functional teams to productionize AI-powered applications.

Skills

Python programming

ML concepts

Data science exposure

AI/ML workflow

Education

Bachelor's degree in CS or related quantitative field

Tools

LLM tooling

Bedrock AgentCore

SQL

Cloud platforms

Job description

Job Description

AI Engineer | Data Science & AI Engineering

Full-Time Hybrid (3 days/week in office)

The Opportunity

MassMutual’s AI & Data Science team is seeking a curious, motivated AI Engineer to join our high-performing, cross-functional team. In this role, you will contribute to the design, development, and evaluation of AI and machine learning solutions that address complex, high-value business problems. You’ll work on well-defined problems and progressively take on greater ownership as you build your technical skills and judgment, supported by a team of experienced practitioners who are invested in your growth. This is a role with real responsibility from day one and a clear path to deeper autonomy as you develop.

The Team

This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable.

The Impact

• Develop, evaluate, and deploy AI and ML models and systems in support of defined business use cases, including LLM-based, generative and agentic AI, and classical machine learning approaches.

• Apply generative AI and agentic techniques (e.g., LLMs, RAG, prompt engineering) to real business problems, building and iterating on solutions under the guidance of senior practitioners.

• Conduct experiments and quantitative analyses to evaluate model and system performance, contributing to rigorous, evidence-based technical decisions.

• Build prototypes and contribute to production delivery of AI-powered applications, developing familiarity with the full lifecycle from ideation through deployment.

• Apply and grow proficiency in best practices for AI development, responsible AI, reproducibility, and production engineering standards.

• Communicate findings clearly to technical peers and stakeholders, translating analytical results into understandable and actionable terms.

• Contribute to team knowledge through documentation, peer feedback, and active participation in a collaborative, learning-oriented environment.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, Data Science, Artificial Intelligence, Machine Learning, or a related quantitative field which includes:

  • Experience applying data science, machine learning, artificial intelligence, or AI engineering concepts through coursework, research, internships, co-ops, capstone projects, labs, personal projects, competitions, or other applied learning.

  • Exposure to machine learning, statistics, natural language processing, generative AI, or LLM-based approaches.

  • Experience programming in Python, with the ability to write functional, readable code and continue developing coding practices.

  • Understanding of the AI/ML development workflow, including data preparation, model training, evaluation, experimentation, and basic deployment concepts.

Preferred Qualifications

• 1+ years professional experience in data science, machine learning, artificial intelligence, AI engineering, software engineering, analytics, or a related technical field.

• Hands-on exposure to LLM tooling or agentic AI frameworks, such as MCP, AWS Strands, or Bedrock AgentCore, through coursework, personal projects, or professional experience.

• Experience with SQL and working with structured data; familiarity with cloud platforms or data infrastructure is a plus.

• Demonstrated intellectual curiosity and initiative, such as independent projects, open-source contributions, published or presented research, or participation in competitions (e.g., Kaggle).

• Clear written and verbal communication skills, with the ability to document work thoroughly and present findings to a technical audience.

What You Can Expect at MassMutual

MassMutual offers the opportunity to do meaningful work within a purpose-driven organization that values long-term impact over short-term outcomes. In this role, you can expect:

• Clear areas of ownership and accountability, with work that connects directly to company and customer outcomes

• A collaborative environment where perspectives are welcomed

• Access to learning, development, and internal networks that support continuous growth and skill-building over time

• Employee-led communities and forums that foster connection, learning, and inclusion across the organization

• A culture grounded in integrity, responsibility, and stewardship—supported by a company with a strong legacy and a future-focused mindset

#LI-SC1

Salary Range:

$113,100-$148,400

At MassMutual, we focus on ensuring fair equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees.Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component.For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

Why Join Us.

We’ve been around since 1851. During our history, we’ve learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard.

We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It’s more than our company structure – it’s our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual.

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.