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Senior AI Engineer

2 months ago

London, Greater London, United Kingdom MongoDB Full time
About the Role

We are seeking an experienced customer-facing developer with a strong background in Artificial Intelligence to join our team at MongoDB. As a Senior AI Engineer, you will be responsible for designing and developing technical enablement programs for our customers and partners.

Key Responsibilities
  • Research and stay up-to-date with the latest advancements in AI, particularly in the area of generative AI, to better understand how it can be applied to our products and offerings.
  • Evaluate training requirements by product and role, and develop appropriate technical enablement programs for internal and partner stakeholders, with a focus on AI use cases.
  • Deliver technical training to internal and partner stakeholders, including consulting engineers and developers.
  • Collaborate with our product engineering, customer engineering, and sales teams to stay informed about new products, features, and customer adoption scenarios.
  • Develop engaging, accurate, and in-depth enablement content that helps our consultants succeed in helping our customers adopt MongoDB for AI use cases.
  • Apply your skills to support the development of new and revised Professional Services offerings to keep pace with industry trends, customer needs, and MongoDB product evolution, particularly in the area of AI.
  • Build out and support the crowd-sourcing of playbooks, best practices, and other technical consulting resources to drive a culture of excellence.
  • Ensure that MongoDB consulting engineers and other roles have access to the necessary systems and resources to perform their roles competently.
  • Act as an advisor for MongoDB PS engineers, answering technical questions, finding resources for further study, and connecting them to different teams and processes within the organization.
Requirements
  • 4+ years of experience working as a software developer.
  • 1+ year of experience in the Artificial Intelligence field, building AI and RAG-based applications.
  • Competency with prompt engineering and creating prompts to address project and customer requirements specifically for coding.
  • Ability to tune LLMs to provide required outputs, such as modifying Temperature, Top P, and Top K values.
  • Knowledge of AI frameworks such as Langchain or Llama.
  • Experience with AI embedding models such as Nomic or Cohere.
  • Strong proficiency in Python (and experience with AI libraries).
  • History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines, and using Git version control.
  • Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations, including requirements engineering.
  • Excellent analytical, diagnostic, and problem-solving skills.
  • Ability to adapt to innovative technologies and learn quickly in a fast-paced environment.
  • Strong verbal and written communication skills.
  • High motivation for a role that combines deep technical work with the softer skills needed to incept and drive change and improvement across the organization.
  • A 'can-do' attitude, and the ability to work collaboratively and cross-functionally.
  • Ability to travel occasionally to other MongoDB offices or customer sites.
  • Ability to speak and write English fluently.
Nice-to-have Experience
  • Development with databases, ideally MongoDB, or others such as Oracle, MSSQL Server, PostgreSQL.
  • Working knowledge of microservices architectures and Domain-Driven Design approaches.
  • 1+ years in enterprise technology professional services, in a consulting or other customer-facing delivery role.
  • AI-specific tools such as TensorFlow, Google Cloud AI Platform, Amazon SageMaker, etc.
  • Working in a number of distinct industries/verticals.
Success Measures

Within 3 months:

  • Complete internal training on MongoDB.
  • Be connected to the broader AI-focused, cross-functional community across MongoDB to remain aligned with other functions and to represent PS in planning and conversations.
  • Work closely with and contribute effectively to the already established AI Specialism team and become the go-to AI subject matter expert in MongoDB PS.
  • Take ownership of appropriate parts of the technical enablement curriculum, developing new and existing content and methods of delivery to ensure that we provide a superlative ramping experience, and can do so at scale.
  • As needed, start delivering technical training to ramp MongoDB consulting engineers and partner developers.

Within 6 months:

  • Develop a roadmap for potential AI-related offerings and internal tools. Support offerings development and provide support for AI-related PS opportunities as needed.
  • Contribute to initial success in improving the evergreening of consultant skills, with a particular focus on how we scale expertise across a growing number of MongoDB products.
  • Contribute to ongoing evolution of the enablement roadmap.

Within 12 months:

  • Act as a driving force within the MongoDB consulting engineer community, meaningfully driving increased consistency and excellence in consulting delivery worldwide, through the build-out and crowd-sourcing of AI-related best practices and tools.