MongoDB Logo

MongoDB

Senior Forward Deployed AI Engineer

Posted 7 Days Ago
Be an Early Applicant
Ireland
Senior level
Ireland
Senior level
The Senior Forward Deployed AI Engineer will work with customers on application modernization using MongoDB. Responsibilities include evaluating and applying tools, contributing to product roadmaps, and ensuring successful customer engagements throughout the application lifecycle. Ideal candidates will have deep technical expertise, strong communication skills, and knowledge of Generative AI.
The summary above was generated by 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 anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

MongoDB is looking for an outstanding person to join our newly created Field Engineering team and take on a key role in our extended R&D organization. Field Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams.

This role can be based out of our Dublin office or remotely in the Ireland region.

Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. 

Such transformations are very time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Field Engineering is responsible for exploring the possibilities of Generative AI  technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem.

Application Modernization Field Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization  projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the product roadmap.

Our ideal candidate will have

  • 5+ years of experience as a field engineer or professional services consultant or full stack developer working directly with Enterprise clients
  • Proficiency in Javascript AND Java or C#, and some familiarity with common database access patterns and frameworks in one or more of these languages
  • Expert level knowledge about enterprise-scale software architectures, application development methodologies, and software deployment and operations
  • Deep experience developing enterprise applications using relational databases, and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases
  • Experience of using and developing with MongoDB and JSON based Document models is highly desirable
  • Problem solving skills, including the ability to collaborate across disciplines and teams to come up with creative solutions to technical and business challenges
  • Willingness to dive into a complex domain, ask the right questions, and bring new software tools and technologies to the table to solve customer problems
  • Great communication skills (both spoken and written), within the team and in customer meetings
  • Good understanding of Generative AI concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus
  • And finally, a strong interest in how AI supported toolchains can improve application development

Position Expectations

  • Contribute to customer application modernization initiatives at any or all phases of the application lifecycle: assessment and analysis; planning and design; data modeling; application code conversion, development, test and build; integration and release configuration, production operations, application optimisation, and best practices adoption
  • Test drive MongoDB migration products to deliver on customer use cases and drive adoption of the product. Deliver concise feedback to the rest of the development organisation
  • Work closely with Product and Engineering teams to influence the direction of the MongoDB product roadmap
  • Personally execute well-defined, outcome-focused projects, POC, MVP and everything in between. POCs including developing or extending existing tools when necessary and appropriate for customer success, with an eye towards reusability and eventual integration with our products. These are often on premises at client locations
  • Maintain a broad and deep technical understanding of the product line and the underlying technologies and protocols
  • Work as part of a wider delivery team comprising consulting engineers from MongoDB Professional Services, project managers, and account teams.
  • Assist sales teams in evaluating opportunities with prospects and customers
  • Willingness to work on site with customers for 7 days per month and to travel to Australia two weeks per year to collaborate with the Product development team

Success Measures

The Senior Forward Deployed AI Engineer will be successful in this role when they can execute the following strategic tasks/responsibilities:

  • Become an expert level user of MongoDB, and our tools current migration products
  • Develop a playbook for customer application modernization engagements, in collaboration with other MongoDB Engineers, Product Management and Engineering
  • Communicate complex technical proposals simply and convincingly to a wide range of audiences
  • Provide unique insight into customer needs, product requirements and strategic opportunities by contributing experience from the field
  • Gain the reputation as a trusted advisor with our field teams and customers
  • Contribute to the success of customer application migration initiatives that they support

Life at 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 is an equal opportunities employer.

Top Skills

C#
Java
JavaScript

MongoDB Dublin, Dublin, IRL Office

Building 2 Number One Ballsbridge, Shelbourne Rd, Ballsbridge, Dublin, Dublin, Ireland, D04 Y3X9

Similar Jobs

Be an Early Applicant
16 Hours Ago
Dublin, IRL
Hybrid
744 Employees
Mid level
744 Employees
Mid level
Enterprise Web • Marketing Tech • Software
As a Full Stack Software Engineer at Contentful, you will enhance and support the Platform Insights Team. Responsibilities include designing and maintaining frontend and backend features, collaborating with product teams, solving bugs, utilizing analytics for improvements, participating in code reviews, and working with data departments.
Be an Early Applicant
17 Hours Ago
Dublin, IRL
5,000 Employees
Senior level
5,000 Employees
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
As a Senior Software Engineer on the Payment Processing team, you will design, build, deploy, and maintain resilient systems while diagnosing issues to improve customer experience and performance. You will own key components of payment processing systems and implement solutions for scalability.
Be an Early Applicant
20 Hours Ago
Dublin, IRL
Hybrid
26,000 Employees
Junior
26,000 Employees
Junior
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Software Quality Engineer, you will be responsible for maintaining automation test frameworks, collecting quality metrics, designing testing strategies with developers, creating and automating test plans, and supporting engineering teams in troubleshooting application issues.

What you need to know about the Dublin Tech Scene

From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account