Forward Deployed Ai Engineer

Summary

Join MongoDB's AI Practice and become a key player in shaping the future of AI-driven business solutions. This hands-on role allows you to work directly with strategic customers, architecting and implementing end-to-end AI solutions using MongoDB Atlas and cutting-edge generative AI technologies. You will collaborate with cross-functional teams, prototype and iterate solutions, and provide technical leadership to ensure successful customer outcomes. The position requires 5+ years of software development experience with at least 2 years dedicated to AI solutions. Based in London or remotely in Great Britain, this role offers the opportunity to make a real-world impact and contribute to a supportive and enriching company culture.

Requirements

• Have 5+ years of experience in software development, customer engineering, solution architecture, or similar roles, including at least 2 years dedicated to designing and implementing AI solutions
• Demonstrate a strong customer-centric approach and excellent communication skills, capable of clearly articulating complex technical solutions to diverse audiences
• Proficiency in building modern, full-stack applications with back end development in Python, Node.js, or Java, and front end development with frameworks like React, Angular or Next.js
• Understand and have implemented AI solutions like Retrieval-Augmented Generation (RAG) systems, and LLMs for real-world, real-time applications
• Have hands-on experience deploying scalable AI applications on cloud environments (AWS, Azure, GCP)
• Demonstrate deep understanding of modern development practices, including CI/CD, test-driven development, and microservices
• Demonstrable experience in rapidly evolving, high-uncertainty projects, turning ambiguous problems into clear, measurable solutions
• Are willing to travel up to 30% to engage directly with strategic customers

Responsibilities

• Embed deeply with strategic customers, gaining a thorough understanding of their business strategy, challenges and technical requirements within the context of AI
• Architect, design, and implement end-to-end AI solutions using an iterative, experiment-driven approach
• Scope projects, define deliverables, and create actionable plans for both rapid prototypes and enterprise-scale deployments
• Hands-on develop scalable, secure, and performant AI solutions, working side-by-side with customer engineering teams
• Prototype and iterate solutions leveraging MongoDB Atlas, cloud technologies, LLMs, and generative AI technologies
• Provide technical leadership to ensure architectural alignment, quality, and successful customer outcomes
• Actively engage with emerging AI technologies to stay ahead of trends, incorporating new insights into customer solutions
• Collaborate closely with our Sales teams, Solution Architects, Product, and wider Professional Services to deliver high-impact, scalable solutions that drive measurable business outcomes
• Contribute to internal knowledge sharing, creating resources, best practices, and reusable assets that scale the broader AI capability across MongoDB

Preferred Qualifications

• Hold an advanced degree (MSc or PhD) in AI, Data Science, Machine Learning, or related fields
• Experience in R&D within the data science, AI/ML space especially around differing AI domains (agentic, discriminative, perceptual, conversational, reinforcement etc), data processing optimisation, prompt engineering, model validation, model fine tuning and reranking
• Have knowledge of AI ethics, governance, and compliance frameworks
• Are proficient in additional languages such as Spanish, Italian, German, or Mandarin

Benefits

• Employee affinity groups
• Fertility assistance
• A generous parental leave policy