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.
We are looking to speak to candidates who are based in Sydney for our hybrid working model.
The Opportunity
As a Forward Deployed AI Engineer on our newly formed Field Engineering team, you’ll directly contribute to the future of MongoDB’s ecosystem and product roadmap. You’ll work directly with enterprise customers on high-impact projects, leveraging Generative AI tools to modernize legacy workloads and accelerate their adoption of microservices-based architectures. This is a rare chance to combine hands-on technical work with strategic influence, helping customers and MongoDB alike navigate the transformative power of AI and machine learning.
What You’ll Do
- Partner with enterprise customers to modernize applications, optimize performance, and unlock the potential of their data with MongoDB
- Evaluate and implement AI-powered tools, prototype innovative solutions, and influence MongoDB’s product direction
- Collaborate across technical and services teams to identify opportunities for transformation and develop scalable, resilient solutions
What We’re Looking For
- 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 versus microservices architectures, including the complexities of application migration
- 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
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 is an equal opportunities employer.
