Forward Deployed Engineer, AI

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 office locations in the United States or remotely across the United States.

About the Team

MongoDB’s AI Practice is at the forefront of driving customer success by transforming innovative ideas into real-world AI applications. Our customers are increasingly asking for our hands-on technical expertise with AI and modern data solutions. To support this growth, we're building a specialized AI engineering practice that works hand-in-hand with our most strategic customers, helping them rapidly prototype, refine, and deploy scalable AI systems that leverage MongoDB Atlas. We're looking for customer-oriented AI engineers to collaboratively build impactful, iterative solutions leveraging MongoDB’s data platform and cutting-edge generative AI technologies.

In this role, you will:

• Embed deeply with strategic customers, gaining a thorough understanding of their business strategy, challenges and technical requirements within the context of AI
• Architect, design, and implement end-to-end AI solutions using an iterative, experiment-driven approach
• Scope projects, define deliverables, and create actionable plans for both rapid prototypes and enterprise-scale deployments
• Hands-on develop scalable, secure, and performant AI solutions, working side-by-side with customer engineering teams
• Prototype and iterate solutions leveraging MongoDB Atlas, cloud technologies, LLMs, and generative AI technologies
• Provide technical leadership to ensure architectural alignment, quality, and successful customer outcomes
• Actively engage with emerging AI technologies to stay ahead of trends, incorporating new insights into customer solutions
• Collaborate closely with our Sales teams, Solution Architects, Product, and wider Professional Services to deliver high-impact, scalable solutions that drive measurable business outcomes
• Contribute to internal knowledge sharing, creating resources, best practices, and reusable assets that scale the broader AI capability across MongoDB

You will succeed in this role if you:

• Have 5+ years of experience in software development, customer engineering, solution architecture, or similar roles, including at least 2 years dedicated to designing and implementing AI solutions
• Demonstrate a strong customer-centric approach and excellent communication skills, capable of clearly articulating complex technical solutions to diverse audiences
• Proficiency in building modern, full-stack applications with back end development in Python, Node.js, or Java, and front end development with frameworks like React, Angular or Next.js
• Understand and have implemented AI solutions like Retrieval-Augmented Generation (RAG) systems, and LLMs for real-world, real-time applications
• Have hands-on experience deploying scalable AI applications on cloud environments (AWS, Azure, GCP)
• Demonstrate deep understanding of modern development practices, including CI/CD, test-driven development, and microservices
• Demonstrable experience in rapidly evolving, high-uncertainty projects, turning ambiguous problems into clear, measura