About the Job
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 functiona...
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.
Work with enterprise customers to refactor applications, migrate legacy databases, and optimize performance using MongoDB
Key Responsibilities
Prototype 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
Required Skills & Abilities
8+ 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
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. 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
Qualifications
Experience:
8 years experience