AI Engineer

• 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.

• 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.

• 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.

• 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
• Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits

What We Do

Since 1851 MassMutual’s commitment has always been to help people protect their families support their communities and help one another. This is why we want to inspire people to Live Mutual. We’re people helping people. Together we’re stronger.

Why Work With Us

MassMutual has the financial security and stability of a 170+ year old company with the culture and energy of a startup. We work every day with the customer front of mind to build the best digital experience in the industry.

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