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

• 5+ years of progressive hands-on experience in any of the following; solution architecture, enterprise architecture, data science, AI/ML and/or software development, including 2+ years of hands-on experience in designing, building, and delivering AI-powered solutions, with a deep focus on GenAI technologies
• Demonstrated thought and technical leadership in AI/GenAI technologies with experience in presenting from conferences to the board room, you have the ability to influence AI strategy and advocate best practices at C-suite whilst hands on to demonstrate the value of your ideas
• Experience of building cloud-native applications using modern methodologies, test-first development, CI/CD pipelines, and microservices architectures
• Good understanding of LLM architectures, vectorisation, and experience in designing Retrieval-Augmented Generation (RAG) systems for real-time applications with hands-on experience in AI/ML frameworks and tools, for example, Llamaindex, Hugging Face, LangGraph, LangChain, Pydantic, Cursor, TensorFlow, and PyTorch
• Experience with cloud AI services (AWS Bedrock, Azure AI, GCP Vertex AI)
• Proficiency in at least one modern programming language (ideally Python), with experience in one other modern language a plus (e.g., Node.js, Java, C#)
• Experience in deploying cutting-edge GenAI technologies and LLMs, driving innovation in high-uncertainty projects
• Ability to connect AI solutions to business outcomes, driving measurable value through data-driven innovation and strategic technology integration
• Strong communication and leadership skills, with the ability to inspire confidence, challenge assumptions, and influence executive stakeholders
• Proven ability to lead agile teams, driving backlog grooming, sprint planning, and showcases in collaboration with Product Owners and cross-functional teams
• Ability to work remotely with a willingness to travel (up to 20%) for high-impact, in-person customer engagements

• Advanced degree (MSc or PhD) in Artificial Intelligence, Data Science, Computer Science, Machine Learning, CL/NLP or similar or equivalent work experience
• Experience in R&D within the data science, AI/ML space especially around differing AI domains (agentic, discriminative, perceptual, conversational, reinforcement etc), data processing, optimisation, prompt engineering, model validation, model fine tuning and reranking
• Experience in developing strategies to mitigate against model hallucinations, bias and in improving accuracy and retrieval
• Deep experience with MongoDB, including building and optimizing mission-critical applications using MongoDB Atlas and vector search capabilities
• Experience shipping production code in a modern development environment
• Knowledge of AI governance, ethical AI principles, and compliance frameworks
• Proficiency in additional languages (e.g., Spanish, Italian, German, Mandarin) is a plus

This isn’t just another architecture role—it’s a hands-on opportunity to shape the future of AI-driven business solutions and redefine what’s possible with MongoDB and AI. You’ll be working on the front lines of innovation, building AI applications that transform industries and drive real-world impact.

If you’re ready to roll up your sleeves, lead from the front, and deliver exceptional customer outcomes through advanced GenAI and MongoDB solutions, we want to hear from you.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425210

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.