AI Deployment Engineer

OpenAI OpenAI · AI Frontier · Singapore · Go To Market

AI Deployment Engineer role focused on helping enterprise customers integrate and deploy Generative AI applications using OpenAI's API and models. The role involves strategic guidance, technical leadership, building prototypes, and ensuring successful production deployment.

What you'd actually do

  1. Deeply embed with our most strategic platform customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.
  2. Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.
  3. Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.
  4. Forge and manage relationships with our customers’ leadership and stakeholders to ensure the successful deployment and scale of their applications.
  5. Contribute to our open-source developer and enterprise resources.

Skills

Required

  • 6+ years of technical consulting experience
  • Experience bridging technical teams and senior business stakeholders
  • Effective and polished communicator
  • Experience leading complex implementations of Generative AI/traditional ML solutions
  • Knowledge of network/cloud architecture
  • Industry experience in programming languages like Python or Javascript
  • Ability to own problems end-to-end
  • Ability to drive multiple concurrent projects and prioritize ruthlessly

Nice to have

  • Product mindset
  • Humble attitude
  • Eagerness to help colleagues
  • Desire to do whatever it takes to make the team succeed

What the JD emphasized

  • technical lead
  • technical thought partner
  • build novel applications
  • identify the best applications
  • build/qualify a comprehensive backlog
  • AI roadmap
  • building hands-on prototypes
  • strategic guidance
  • successful deployment and scale
  • 6+ years of technical consulting
  • led complex implementations of Generative AI/traditional ML solutions
  • Own problems end-to-end
  • drive multiple concurrent projects and prioritize ruthlessly

Other signals

  • customer-facing
  • deployment
  • enterprise architecture
  • API integration
  • prototyping