MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
At MongoDB, we believe data is at the core of the AI era. As AI-powered applications evolve from prototypes to mission-critical solutions, the foundation for success lies in designing systems that provide relevant and trustworthy responses. MongoDB is redefining the role of the database in this landscape, positioning our data layer as the cornerstone of modern AI applications. To support our customers’ journey, we are expanding our AI offerings and resources, demonstrating how our data platform powers the evolving AI tech stack. With the acquisition of Voyage.ai and our dedicated AI Practice, we are accelerating our product capabilities and working closely with customers to bring their AI ambitions to life.
This role can be based out of any of our East Coast offices or remotely in the Eastern Time Zone in the United States.

• Take an “AI First” mindset, leveraging the latest GenAI technologies and solution partners to design, prototype, and implement high-impact AI solutions that solve real customer problems and drive tangible business value
• Jump into customer scenarios, understanding their use case, scoping effort in supporting customers and rapidly ideate what the solution should be, innovating quickly and demonstrating the value of our technology and services
• Engage directly with C-suite customer stakeholders, addressing complex business challenges through AI concepts and solutions, ensuring alignment on solution design and delivery
• Quickly build prototypes and proofs of concepts using GenAI-assisted development tools, showcasing the art of the possible to customers and iterating based on feedback
• Own the end-to-end design and delivery of scalable AI architectures, from data pipelines to model deployment, ensuring performance, security, and scalability at every step
• Write production-quality code in modern languages (e.g., Python, Node.js, Java) to build, fine-tune, and deploy RAG architectures, LLMs and AI models, using frameworks like LangChain, TensorFlow, PyTorch, and Hugging Face
• Architect data pipelines and modern data layers using MongoDB Atlas Vector Search, enabling real-time, AI-driven applications
• Provide authoritative technical direction to delivery teams, ensuring architectural consistency and high-quality AI solutions that align with customer objectives
• Define scope, estimate effort, and deliver product increments that align with customer business priorities, ensuring high-velocity, outcome-focused delivery
• Stay ahead of the curve by experimenting with emerging GenAI techniques, optimizing development processes, and driving the adoption of best practices in responsible AI
• Contribute to ongoing development of a repository of reusable solution components, including reference architectures, GenAI blueprints, and AI-driven application modules, to accelerate delivery
• Actively participate in the MongoDB and GenAI communities, sharing insights, driving best practices, and influencing the direction of AI-driven solutions