Senior Forward Deployment Engineer

As a Senior Forward Deployed AI Engineer, you’ll work directly with enterprise customers on high-impact projects that leverage Generative AI, LLMs, and modern application development. You’ll be hands-on in helping organizations migrate legacy databases, modernize their architecture, and integrate AI-driven functionality into their applications. This is a rare opportunity to apply your software engineering expertise while driving AI adoption across industries.

You’ll not only solve challenging, real-world engineering problems, but also influence MongoDB’s AI strategy and product direction.

This role will be based remotely anywhere within the U.S. or any MongoDB North America office, including Seattle, Denver, Raleigh, San Francisco, Palo Alto, New York, DC, etc.

What You’ll DoWork with enterprise customers to refactor applications, migrate legacy databases, and optimize performance using MongoDBPrototype and build AI-powered features, leveraging LLMs and Generative AI frameworks to improve software development workflows and application functionality

Apply modern software engineering practices to accelerate customers’ AI adoption, helping them implement microservices-based architectures, intelligent automation, and AI-enhanced applications

Influence MongoDB’s AI and software development roadmap by sharing insights from real-world implementations and customer needs

Collaborate across engineering, product, and customer teams to create scalable, resilient software solutions

What We’re Looking For8+ years of experience in software engineering, with a proven track record of delivering impactful technical solutions for enterprise clients, preferably using Java, SQL, and Python An engineering degree in Computer Science, Machine Learning, Mathematics, Network Engineering, or Electrical Engineering In-depth knowledge of AI/ML concepts, tools, and open-source development; experience designing and implementing AI-powered applications is highly preferred

Proficient in test-driven development methodologies and familiar with monolithic vs. microservices architectures, including database migration and refactoring

Strong problem-solving skills and a passion for tackling complex, “un-Googleable” challenges while driving innovation through software development

Preferred qualifications:

Academic research experience in parsing, AI/ML, or programming languages

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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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.

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