Senior Software Engineer, Forward Deployed AI Engineer
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Technologies & skills
What you'll be doing
Join MongoDB's Forward Deployed Engineering team in Ireland to drive application modernization with generative AI. Collaborate with customers and internal teams, evaluate and build modernization tools, and influence MongoDB's product roadmap. Hybrid role, requiring regional travel and hands-on technical work.
- Contribute to customer application modernization initiatives across all phases of the application lifecycle
- Test drive MongoDB migration products and deliver feedback to development teams
- Work closely with Product and Engineering teams to influence the product roadmap
- Execute POCs, developing or extending tools for customer success
- Maintain broad and deep technical understanding of product line and technologies
- Collaborate with consulting engineers, project managers, and account teams
- Assist sales teams in evaluating opportunities with prospects and customers
- Work on site with customers for 7 days per month, including regional travel
Key requirements
Must-have
- 4+ years as a field engineer, professional services consultant, or full stack developer with enterprise clients
- Proficiency in Java or C#
- Familiarity with database access patterns and frameworks in Java or C#
- Strong knowledge of enterprise-scale software architectures and deployment
- Experience developing enterprise applications using relational databases and SQL
- Problem solving skills and ability to collaborate across teams
- Willingness to learn new domains and technologies
- Strong communication skills
Nice-to-have
- Experience with MongoDB and JSON-based document models
- Experience building applications/tools using Generative AI (e.g., Cursor, Claude Code, Gemini, OpenAI APIs)
Experience: 4+ years
Role signals
- Technical focus
- application modernization, generative AI, enterprise software architecture
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
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Full job description
MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams.
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
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 time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed 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 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
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4+ years of experience as a field engineer or professional services consultant or full stack developer working directly with Enterprise clients
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Proficiency in Java or C#, and some familiarity with common database access patterns and frameworks in one or more of these languages
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Strong knowledge about enterprise-scale software architectures, application development methodologies, and software deployment and operations
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Experience developing enterprise applications using relational databases, and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases
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Experience of using and developing with MongoDB and JSON based Document models is highly desirable
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Problem solving skills, including the ability to collaborate across disciplines and teams to come up with creative solutions to technical and business challenges
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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
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Great communication skills (both spoken and written), within the team and in customer meetings
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Good understanding of Generative AI concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus. That includes Cursor, Claude Code, Gemini, and OpenAI APIs
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And finally, a strong interest in how AI supported toolchains can improve application development
Position Expectations
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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
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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
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Work closely with Product and Engineering teams to influence the direction of the MongoDB product roadmap
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Personally execute 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
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Maintain a broad and deep technical understanding of the product line and the underlying technologies and protocols
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Work as part of a wider delivery team comprising consulting engineers from MongoDB Professional Services, project managers, and account teams
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Assist sales teams in evaluating opportunities with prospects and customers
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Willingness to work on site with customers for 7 days per month, which includes regional travel (within Europe)
Success Measures
The Senior Forward Deployed Engineer will be successful in this role when they can execute the following strategic tasks/responsibilities:
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Become an expert level user of MongoDB, and our tools current migration products
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Develop a playbook for customer application modernization engagements, in collaboration with other MongoDB Engineers, Product Management and Engineering
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Communicate complex technical proposals simply and convincingly to a wide range of audiences
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Provide unique insight into customer needs, product requirements and strategic opportunities by contributing experience from the field
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Gain the reputation as a trusted advisor with our field teams and customers
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Contribute to the success of customer application migration initiatives that they support
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 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 is an equal opportunities employer.
REQ ID: 4263294981
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
You will be assessed on your ability to drive enterprise application modernization using MongoDB and generative AI tooling, collaborate with cross-functional teams, and deliver technical solutions for customer migrations from legacy systems. Strong technical depth, communication, and hands-on experience with Java/C#, databases, and AI tools are key.
- Application modernization·High
- MongoDB & database migration·High
- Generative AI tooling·High
- Enterprise client collaboration·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review Application Modernization Projects
0–8 minRecall specific projects where you migrated legacy systems, focusing on challenges, tools, and outcomes.
Deepen MongoDB and Migration Tool Knowledge
8–15 minRefresh your understanding of MongoDB, its migration products, and document data modeling.
Summarize Generative AI Tool Experience
15–23 minList and review your hands-on experience with generative AI APIs and tools relevant to modernization.
Prepare Collaboration and Communication Examples
23–30 minIdentify examples where you worked across teams and communicated complex ideas to diverse audiences.
Talking points
, 6 itemsApplication Modernization Strategies
You will guide and execute modernization projects for enterprise clients, requiring deep understanding of assessment, planning, and migration phases.
MongoDB Expertise
Success depends on advanced knowledge of MongoDB, its migration tools, and document data models to support customer transitions.
Generative AI Tools & Concepts
The role involves evaluating and building AI-driven tooling (e.g., OpenAI APIs, Claude Code, Gemini) to accelerate modernization.
Enterprise Software Architectures
You must understand large-scale architectures, deployment, and integration to effectively modernize legacy systems.
Relational Database Migration
Experience with SQL, stored procedures, and major RDBMS (Oracle, MS SQL Server, Sybase, PostgreSQL) is essential for migration projects.
Cross-functional Collaboration
You will work with product, engineering, consulting, and sales teams, requiring strong communication and teamwork.
What to research
, 4 itemsDriving Application Modernization Initiatives
Expect deep questions on your ability to lead and execute modernization projects, including assessment, planning, migration, and optimization phases.
Hands-on MongoDB and Migration Tool Expertise
You will likely be tested on your technical depth with MongoDB, its migration tools, and integrating with legacy and modern systems.
Applying Generative AI in Modernization
Prepare to discuss your experience evaluating, building, or deploying generative AI tools to accelerate application modernization.
Cross-functional Collaboration and Feedback
Be ready to demonstrate how you work with product, engineering, and customer teams to influence product direction and deliver solutions.
Questions to ask
, 6 itemsHow does the Forward Deployed Engineering team collaborate with Product and Engineering on shaping the roadmap?
Why ask this? Clarifies the influence you will have on product direction and feedback mechanisms.
What are the most common challenges customers face during application modernization projects?
Why ask this? Helps you understand the real-world problems you’ll be solving.
What AI tools or platforms are currently being explored or prioritized for modernization tooling?
Why ask this? Reveals which technologies you should be most familiar with and may work on.
How is success measured for engineers in this team, especially regarding customer engagements?
Why ask this? Gives insight into performance expectations and growth opportunities.
What is the typical composition of a project team for modernization engagements?
Why ask this? Clarifies who you’ll work with and the team’s structure.
How much flexibility is there in selecting or developing new tools for customer projects?
Why ask this? Shows how much innovation and autonomy you’ll have in tooling choices.
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