Forward Deployed Engineer, AI

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, 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

Why 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.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. 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.

Our compass at MongoDB is our Leadership Commitment, () guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.

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 : 425509

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.

MongoDB's base salary range for this role in the U.S. is :

$137,000-$270,000 USD