AI Engineer

About The Company MassMutual is a leading financial services organization committed to helping individuals and businesses achieve their financial goals through innovative insurance, retirement, and investment solutions. With a rich history of over 170 years, MassMutual has established a reputation for stability, integrity, and customer-centricity. The company emphasizes a culture of continuous innovation, leveraging advanced technology and data-driven insights to enhance its offerings and deliver superior value to clients. As a mutual company, MassMutual prioritizes the long-term well-being of its policyholders and stakeholders, fostering a collaborative environment that encourages growth, inclusion, and responsible corporate citizenship. About The Role We are seeking a highly skilled AI Engineer to join our dynamic Data Science team. This full-time hybrid position, based in Boston, NYC, or Springfield, offers an exciting opportunity to work at the forefront of artificial intelligence and machine learning innovations within the insurance industry. The successful candidate will collaborate with experts across applied mathematics, statistics, computer science, and physics to develop and deploy advanced AI solutions that influence strategic decision-making and drive business transformation. You will be instrumental in designing scalable AI systems, implementing cutting-edge models, and creating applications that facilitate data-driven insights across the enterprise. Qualifications The ideal candidate will possess a strong background in data science, machine learning, and AI engineering, with the following qualifications: • Minimum of 5 years of proficiency in SQL, database design, and familiarity with cloud-native data platforms, vector databases, and semantic search technologies. • Extensive experience in Python programming (5+ years), with proficiency in R considered a plus. • Deep understanding of machine learning algorithms, statistical methods, natural language processing (NLP), optimization techniques, and large language models (LLMs). • At least 3 years of hands-on experience in data science, machine learning, or AI engineering roles. • Minimum of 2 years of experience working with AI deployment frameworks and orchestration protocols such as agentcore, strands, langchain, MCP, and A2A. • Significant background in developing AI agents and LLM systems, including tool integration, multi-step workflows, retrieval-augmented generation (RAG), prompt management, and evaluating LLM behavior across various models and benchmarks. • Proven experience building AI-powered applications in collaboration with software engineers and product managers. • Hands-on experience with cloud-native development, containerization, and orchestration technologies like Docker and Kubernetes. • Master's degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative discipline. Responsibilities The AI Engineer will be responsible for a range of technical and strategic tasks, including: • Designing, developing, and deploying end-to-end machine learning and AI solutions that support various enterprise use cases, utilizing LLMs, deep learning, and probabilistic modeling from conception through production. • Implementing scalable generative AI (GenAI) and agentic AI systems that align with business objectives and operational needs. • Establishing best practices for AI development, ensuring responsible AI deployment, and adhering to ethical standards and regulatory requirements. • Collaborating with engineering teams to build robust, production-grade AI pipelines, APIs, and infrastructure to facilitate seamless integration and deployment. • Prototyping and delivering AI-powered applications such as web interfaces, dashboards, and visualizations that enable data-driven decision-making across departments. • Evaluating and fine-tuning LLMs and AI agents, managing prompt strategies, and optimizing multi-step workflows for performance and accuracy. • Staying abreast of emerging AI technologies and industry trends, and applying innovative solutions to solve complex business challenges. • Providing technical guidance and mentorship to junior team members and cross-functional partners. Benefits MassMutual offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. This includes competitive salaries, health insurance plans, retirement savings options, paid time off, and flexible work arrangements. Employees also have access to ongoing training and development programs, wellness initiatives, and opportunities for career advancement within a collaborative and inclusive environment. We are committed to fostering a workplace culture that values diversity, equity, and inclusion, ensuring all team members feel valued and empowered to contribute their best. Equal Opportunity MassMutual is an equal employment opportunity employer. W