Head of AI Platform Engineering

The Opportunity 

MassMutual is redefining the future of financial services through the transformative power of Artificial Intelligence, Machine Learning, and Generative AI. As a recognized leader in AI innovation (ranked 8th overall and 2nd for AI innovation in the Evident AI Insurance Index), we are seeking a visionary executive to architect and scale the AI, ML, and GenAI platform that will underpin MassMutual’s next era of growth, customer experience, and operational excellence. As the Vice President of AI, ML & GenAI Platform Engineering, you will set the strategic direction and lead the engineering of a secure, scalable, and enterprise-grade platform that accelerates the adoption and impact of advanced AI and ML solutions across the organization. You will be at the forefront of enabling MassMutual to responsibly harness the full potential of agentic AI, LLMs, and next-generation machine learning to drive business transformation. 

The Team 

Join a world-class Research & Development organization comprised of data scientists, ML engineers, AI platform engineers, social scientists, and product leaders. We are united by a passion for innovation, a commitment to ethical AI, and a drive to deliver measurable value for our clients, financial professionals, and policyholders. Our culture values creativity, courage, and accountability, and thrives on close partnerships with academia, government, and the global fintech ecosystem. 

Strategic Impact & 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. Foster a culture of innovation, experimentation, and continuous learning 

• 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. Champion the integration of cutting-edge research into scalable, production-ready solutions 

• Catalyze Collaboration: Lead cross-functional teams and collaborate with product, research, and business stakeholders to ensure AI/ML/GenAI initiatives deliver measurable business outcomes 

Minimum Qualifications 

• Advanced degree in Computer Science, Engineering, or related field 

• 10+ years of engineering experience, with 5+ years leading AI/ML platform or infrastructure teams 

• Deep expertise in AI/ML/GenAI technologies, cloud-native architectures (AWS, Azure, GCP), MLOps/LLMOps, and modern data/ML toolchains 

• Proven track record of delivering enterprise-scale AI/ML platforms and solutions 

• Exceptional strategic thinking, problem-solving, and communication skills 

• Demonstrated ability to lead in a highly collaborative, matrixed environment 

Preferred Qualifications 

• Experience in financial services or regulated industries 

• Strong publication or patent history in AI/ML/GenAI 

• Demonstrated success translating research into business impact at scale 

What to Expect at MassMutual 

• Direct influence on the company’s AI/ML/GenAI strategy and technology roadmap 

• Regular engagement with R&D, executive leadership, and cross-functional teams 

• Access to world-class learning, development, and networking opportunities 

• A values-driven culture that prizes ethics, integrity, and inclusion 

• Competitive compensation, comprehensive benefits, and industry-leading rewards 

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