Forward Deployed Ai Engineer

Summary

Join MongoDB's AI Practice as an AI Engineer and work directly with strategic customers to build cutting-edge AI solutions. You will embed with clients, architect and implement AI systems using an iterative approach, and leverage MongoDB Atlas and generative AI technologies. This role requires 5+ years of software development experience, including at least 2 years in AI solution design and implementation. Proficiency in Python, Node.js, or Java, and experience with cloud environments (AWS, Azure, GCP) are essential. The position offers opportunities for professional growth, collaboration with diverse teams, and the chance to shape the future of AI-driven business solutions. Remote work within the United States is possible, and the company offers a comprehensive benefits package.

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

• Flexible paid time off
• 20 weeks fully-paid gender-neutral parental leave
• Fertility and adoption assistance
• 401(k) plan
• Mental health counseling
• Access to transgender-inclusive health insurance coverage
• Health benefits offerings
• Equity
• Participation in the employee stock purchase program