AI Engineer

AI Engineer role in Springfield, MA (hybrid) at MassMutual, with a yearly salary range of USD 141,300 to 185,400, requiring a Bachelor's degree and at least 4 years of relevant experience. The role focuses on designing, developing, and delivering enterprise AI/ML solutions using LLMs, deep learning, agentic AI, and probabilistic modeling.

Responsibilities

• Lead the end-to-end design, development, and delivery of AI solutions that address high-value, enterprise-wide business problems.
• Apply machine learning, generative AI, agentic AI, and LLM-based techniques to real-world challenges.
• Scope problems, build and evaluate solutions, and bring them into production with minimal supervision.
• Take full ownership of defined initiatives, driving quality and performance from development through deployment.
• Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs, deep learning, agentic AI, and probabilistic modeling, with responsibility for quality and performance.
• Frame and scope AI problems independently, defining success metrics and evaluation criteria with stakeholders before and during development.
• Design and conduct rigorous evaluations of AI system performance, including experimentation, model benchmarking, and quantitative analysis to inform technical decisions.
• Build rapid prototypes to test AI approaches and transition validated solutions into production-grade applications such as intelligent interfaces, dashboards, and automated pipelines.
• Apply best practices in AI development, responsible deployment, and production engineering; contribute to team-wide standards and reusable frameworks.
• Communicate findings and recommendations clearly to technical peers and non-technical stakeholders, translating quantitative results into actionable insights.
• Contribute to team knowledge through documentation, peer feedback, and mentoring of less experienced colleagues.

Requirements

• 4+ years of experience in data science, machine learning, or AI engineering with a track record of delivering AI/ML solutions independently and at scale.
• 4+ years in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluating LLM performance across foundation models.
• 4+ years building and deploying production AI systems, including model integration, API development, and cloud-based infrastructure.
• 4+ years of Python programming with 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.

Technologies

• Python, SQL, Bedrock AgentCore, AWS Strands, Azure, MCP/A2A protocols, vector databases, semantic search

Benefits

• Medical, dental, 401(k), and generous vacation time
• Three paid days for volunteering
• Well-Being Wallet worth $1,250 annually
• Up to 320 hours of caregiver leave
• MassMutual Foundation matches employee donations up to $5,000 annually
• Qualified Commuter Program with before-tax commuting expenses
• Commuter wallet option for Boston and NYC campuses