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AWS Engineer
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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.
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. 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 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.
This role will be based remotely in London.
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
Contribute to internal knowledge sharing, creating resources, best practices, and reusable assets that scale the broader AI capability across MongoDB
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
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)
Demonstrable experience in rapidly evolving, high-uncertainty projects, turning ambiguous problems into clear, measurable solutions
Are willing to travel up to 30% to engage directly with strategic customers
Bonus points if you:
Hold an advanced degree (MSc or PhD) in AI, Data Science, Machine Learning, or related fields
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
Have knowledge of AI ethics, governance, and compliance frameworks
Are proficient in additional languages such as French,Spanish, Italian, German, or Mandarin
We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
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.
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.
