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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 remotely out of the United States.About the TeamMongoDB’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 MongoDBYou 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, measurable solutions• Are willing to travel up to 30% to engage directly with strategic customersBonus 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 Spanish, Italian, German, or MandarinWhy Join Us?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.

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What You Should Know About Forward Deployed Engineer, AI, MongoDB

As a Forward Deployed Engineer specializing in AI at MongoDB, located in Atlanta, GA, you'll find yourself at the exciting intersection of technology and innovation! Your mission is to empower our strategic customers by transforming their ideas into real-world AI applications. You'll dive deep into understanding their business strategies and technical needs, allowing you to architect, design, and implement AI solutions using an iterative, experiment-driven approach. This isn't just about writing code; it's about actively collaborating with customer engineering teams to develop scalable, secure AI solutions that leverage the power of MongoDB Atlas. With your technical leadership, you'll ensure quality outcomes and architectural alignment while staying ahead of emerging AI trends and technologies. Plus, you'll be shaping internal knowledge sharing, creating invaluable resources and reusable assets that enhance MongoDB's AI capabilities. If you're a customer-oriented engineer with a strong foundation in AI and software development, eager to lead projects from inception to deployment, we want you on our team! Join us as we drive customer success and reimagine what’s possible in AI with MongoDB.

Frequently Asked Questions (FAQs) for Forward Deployed Engineer, AI Role at MongoDB
What are the key responsibilities of a Forward Deployed Engineer at MongoDB?

As a Forward Deployed Engineer at MongoDB, your primary responsibilities include deeply embedding with strategic customers to understand their business challenges and technical requirements, architecting and implementing end-to-end AI solutions, and collaborating with customer teams to develop scalable AI applications. You'll scope projects, define deliverables, and leverage MongoDB Atlas to prototype and iterate solutions, ensuring quality and successful outcomes.

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What qualifications do I need to become a Forward Deployed Engineer at MongoDB?

To qualify for the Forward Deployed Engineer position at MongoDB, you should have over 5 years of experience in software development or related fields, with at least 2 years focused on implementing AI solutions. It's essential to have a strong customer-centric approach and good communication skills, as well as proficiency in building modern applications with languages like Python or Java and frameworks such as React. Experience deploying AI applications in cloud environments is also required.

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How does the role of Forward Deployed Engineer at MongoDB contribute to AI development?

The Forward Deployed Engineer at MongoDB plays a crucial role in advancing AI development by partnering with customers to turn innovative ideas into real-world applications. With hands-on experience in AI technologies and an understanding of customer needs, this engineer contributes to the architectural design and implementation of scalable AI solutions, making a significant impact on customers’ business outcomes.

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Is remote work an option for Forward Deployed Engineers at MongoDB?

Yes! MongoDB offers flexibility for Forward Deployed Engineers to work remotely from anywhere within the United States. This allows you to engage directly with customers while collaborating with the MongoDB team in a way that suits your lifestyle, making the position both convenient and rewarding.

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What is the team culture like for Forward Deployed Engineers at MongoDB?

The team culture for Forward Deployed Engineers at MongoDB is supportive and growth-oriented, emphasizing innovation and collaboration. The AI Practice is dedicated to driving customer success through teamwork, knowledge sharing, and continuous learning. MongoDB fosters an environment that values employee wellbeing and professional development, encouraging engineers to thrive both personally and at work.

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Common Interview Questions for Forward Deployed Engineer, AI
Can you describe your experience in developing AI solutions?

When answering this question, highlight specific projects you've worked on that involve design, implementation, and deployment of AI solutions. Discuss the technologies you used, the challenges you faced, and how your solutions met customer needs, demonstrating your hands-on experience and thought process.

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How do you approach understanding a customer's business requirements?

Share your strategies for engaging with customers, such as conducting discovery meetings or using questionnaires to gather information. Explain how you translate their requirements into technical solutions, focusing on your customer-centric mindset.

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What tools and methodologies do you utilize for AI deployment?

Discuss the specific tools and frameworks you are familiar with, such as cloud services (AWS, Azure) and AI libraries. Mention your familiarity with modern development methodologies like CI/CD and test-driven development, which show your commitment to quality and efficiency.

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Describe a time you faced a significant challenge while deploying an AI solution. How did you handle it?

Use the STAR method (Situation, Task, Action, Result) to describe the challenge clearly. Highlight your problem-solving skills and the steps you took to address the issue, along with the final outcome, showcasing your ability to navigate high-uncertainty projects.

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What is your understanding of AI ethics and governance?

Articulate your awareness of the ethical considerations in AI development, including bias, transparency, and accountability. Discuss the importance of compliance frameworks and how you ensure these considerations are integrated into your AI projects.

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How would you collaborate with multi-disciplinary teams to deliver AI solutions?

Share your experience working with diverse teams, including sales, product management, and engineering. Discuss the importance of open communication and how you leverage each team member's strengths to drive project success.

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Can you provide an example of a project where you used generative AI technologies?

Describe the project, your role, and the specific generative AI technologies you utilized. Discuss the goals of the project and how your solutions impacted the customer, reinforcing your expertise in the area.

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What steps do you take to keep up with emerging AI technologies?

Explain your approach to continuous learning, including following industry news, participating in workshops, or engaging with online communities. Address how you incorporate new insights into your work, ensuring your solutions remain innovative.

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In your opinion, what is the future of AI in business?

Provide your perspective on the evolving role of AI in various industries, discussing trends like AI-driven analytics and automation. Share how you envision contributing to this evolution as a Forward Deployed Engineer at MongoDB.

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What do you enjoy most about working in AI?

Reflect on your passion for AI and technology, discussing what motivates you to work in this field. Personal stories or experiences can convey your enthusiasm and commitment to changing the landscape through innovative solutions.

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MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.

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Full-time, remote
DATE POSTED
March 18, 2025

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