AI Deployment Engineer- Chatgpt Ecosystem

OpenAI OpenAI · AI Frontier · United States · Remote · Go To Market

This role focuses on enabling strategic customers and partners to effectively deploy and maximize value from OpenAI's products, specifically ChatGPT and the OpenAI API. The AI Deployment Engineer acts as a dedicated technical resource, providing expert guidance, scoping use cases, supporting co-development of integrations, and ensuring secure, scalable, and differentiated experiences. They also serve as a liaison between partners and internal teams, gathering feedback to shape product roadmaps.

What you'd actually do

  1. Deliver an exceptional partner experience by providing technical expertise, scoping use cases, and supporting the development of Apps in ChatGPT and commerce checkout experiences with technical stakeholders and strategic partners.
  2. Partner with our Partnerships team to design and support ecosystem integrations, ensuring technical feasibility and high-impact launches.
  3. Guide partners on best practices for leveraging the OpenAI API and ChatGPT to create secure, scalable, and differentiated experiences.
  4. Serve as the first line of defense for design, security, compliance, and architecture questions, escalating complex requirements to internal experts as needed.
  5. Create and maintain documentation, implementation guides, and FAQs for common partner requirements and technical challenges.

Skills

Required

  • LLMs
  • MCP
  • REST APIs
  • Python
  • JavaScript
  • front-end design and development

Nice to have

  • Solutions Engineer
  • Solutions Architect
  • Partner Engineer
  • ecosystem or partner motions
  • co-development
  • joint go-to-market programs
  • communicator
  • translate complex technical concepts to business stakeholders and executives
  • high horsepower
  • manage multiple projects simultaneously
  • fast-changing environment
  • collaborative
  • humble attitude
  • eagerness to help partners and internal teams succeed

What the JD emphasized

  • 5+ years of experience in a technical, customer-facing role such as Solutions Engineer, Solutions Architect, or Partner Engineer
  • strong understanding of and experience working with LLMs
  • experience supporting ecosystem or partner motions