MassMutual is seeking to redefine the future of financial services through the transformative power of Artificial Intelligence, Machine Learning, and Generative AI by architecting and scaling the AI, ML, and GenAI platform
Requirements
- Deep expertise in AI/ML/GenAI technologies
- Cloud-native architectures (AWS, Azure, GCP)
- MLOps/LLMOps
- Modern data/ML toolchains
- Experience with agentic AI, retrieval-augmented generation, multi-modal models, and next-gen ML architectures
- Strong publication or patent history in AI/ML/GenAI
- Experience in financial services or regulated industries
Responsibilities
- Architect the Future of AI at Scale: Design and deliver the core AI/ML/GenAI platform that empowers MassMutual to rapidly prototype, deploy, and operationalize advanced AI solutions—enabling everything from personalized customer journeys to intelligent automation and risk analytics
- Accelerate GenAI and ML Adoption: Build and evolve a cloud-native, multi-tenant platform that supports the full lifecycle of machine learning and generative AI—from data ingestion and feature engineering to model training, fine-tuning, deployment, and monitoring
- Operationalize Responsible AI: Embed robust MLOps and LLMOps practices, governance, and ethical guardrails to ensure transparency, compliance, and trust in all AI-driven solutions
- Drive Enterprise Transformation: Partner with senior leaders to align AI platform capabilities with strategic business priorities, unlocking new revenue streams, operational efficiencies, and differentiated customer value
- Lead and Inspire Top Talent: Attract, develop, and retain a diverse, high-performing team of AI/ML engineers and platform specialists
- Advance the State of the Art: Stay ahead of emerging trends in agentic AI, retrieval-augmented generation, multi-modal models, and next-gen ML architectures
- Catalyze Collaboration: Lead cross-functional teams and collaborate with product, research, and business stakeholders to ensure AI/ML/GenAI initiatives deliver measurable business outcomes
Other
- Advanced degree in Computer Science, Engineering, or related field
- 10+ years of engineering experience, with 5+ years leading AI/ML platform or infrastructure teams
- Exceptional strategic thinking, problem-solving, and communication skills
- Demonstrated ability to lead in a highly collaborative, matrixed environment
- Competitive compensation, comprehensive benefits, and industry-leading rewards
