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

You will succeed in this role if you:

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

Bonus points if you:

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

Principal Application Delivery Consultant