Join MongoDB as a Senior Engineer in Enterprise Architecture to lead AI experimentation and prototype emerging capabilities.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 9 hours ago
Skills & Technologies
What you'll build
- Design and run experiments testing AI capabilities
- Build lightweight prototypes to validate ideas
- Stay current on new AI tooling and models
- Partner with teams to hand off validated capabilities
- Maintain technical rigor and documentation
Must have
- 6+ years of professional software engineering experience
- Deep experience with at least one modern programming language
- Strong technical judgment and problem-solving skills
- Excellent communication skills
- Hands-on experience prototyping with LLMs
Nice to have
- Experience building and maintaining full-stack applications
- Experience designing systems used by other teams
- Knowledge of Tanstack Start, Next.js, FastAPI, React
- Experience with model evaluation frameworks
- Familiarity with containerized applications and CI/CD pipelines
AI in the day-to-day
You'll partner with teams to explore, prototype, and validate emerging AI capabilities.
Requirements
- Experience
- 6+ years
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the Senior Engineer in Enterprise Architecture at MongoDB focuses on designing and conducting experiments to test emerging AI capabilities, collaborating with various teams to validate ideas before they enter the formal roadmap. The position requires deep expertise in modern programming languages and hands-on experience with AI prototyping, particularly with large language models and agentic systems. This role is suited for seasoned engineers with a strong problem-solving ability and excellent communication skills, particularly those comfortable navigating ambiguity. The team emphasizes rapid iteration and documentation, aiming to influence the organization's direction through
Joblaze insights
Quick facts
- Is the Senior Engineer - Enterprise Architecture role remote?
- It's hybrid — MongoDB expects some on-site time in Gurugram.
- How much experience is required?
- At least 6 years of relevant experience for this Senior Engineer - Enterprise Architecture role.
- Where is the role based?
- MongoDB is hiring for this position in Gurugram.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: FastAPI, Go, Kubernetes, LLMs, Next.js, Python.
- What seniority level is this role?
- MongoDB targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Engineer - Enterprise Architecture role at MongoDB.
From the original posting
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Team Description
MongoDB seeks an experienced Senior Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities.
Our ideal candidate:
- Has 6+ years of professional software engineering experience
- Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.)
- Strong technical judgment and the ability to independently solve complex engineering problems
- Excellent communication skills and comfort collaborating across teams and disciplines
- Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet
- Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks)
- Has the ability to iterate fast, specially in the case where requirements are not clear
- Keeps up with emerging AI tooling and models, not just what's already mainstream
- Collaborative, detail-oriented, and passionate about building reliable, usable software
Bonus Round:
- Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines
- Experience designing systems or services used by other engineers or teams
- Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React
- Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph)
- Familiarity with transformer architecture and model internals
- Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines
Position Expectations:
- Design and run experiments that test emerging AI capabilities against real internal use cases, before they're formally prioritized. Condense the learnings of those experiments and document them so that the knowledge can be used across the org.
- Build lightweight prototypes to validate or kill ideas quickly
- Stay current on new AI tooling and models, and turn relevant developments into concrete internal proof points
- Partner with product, platform, and internal engineering teams to hand off validated capabilities once they're ready to move from experiment to production
- Maintain technical rigor and clear documentation of findings, even for work that doesn't ship
- Identify and communicate risks, unknowns, and open questions clearly to stakeholders
Success Measures:
- In three months, have run and documented at least one AI capability experiment, with a clear recommendation on whether and how to pursue it further
- In three months, demonstrate the ability to move quickly from idea to working prototype
- In six months, have influenced the org's roadmap or tooling direction by surfacing a capability two to three steps ahead of current need, backed by evidence from your experimentation
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.
MongoDB is an equal opportunities employer.
| Requisition ID | 3273558098 |
Standard company text repeated across MongoDB's postings is omitted here.