AI Deployment Engineer

OpenAI OpenAI · AI Frontier · New York, NY · Go To Market

This role focuses on post-sale technical engagement with enterprise customers to help them adopt and deploy Generative AI solutions using OpenAI's technologies. The engineer will act as a trusted advisor, designing and guiding the implementation of AI applications from prototype to production, ensuring customers realize business value.

What you'd actually do

  1. Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.
  2. Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.
  3. Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.
  4. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.
  5. Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.

Skills

Required

  • 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers
  • Strong communication skills (explaining technical and business concepts to executive and practitioner audiences)
  • Experience leading complex deployments of Generative AI or traditional machine learning systems
  • Hands-on proficiency in Python, JavaScript, or similar languages
  • Ability to build prototypes or proofs of concept
  • End-to-end ownership and proactive learning

Nice to have

  • Infrastructure and network architecture considerations

What the JD emphasized

  • post-sale
  • technical partner
  • AI adoption strategy
  • prototype to production
  • hands-on technical guidance
  • enterprise-grade production deployments
  • holistic view of each customer’s architecture and operations
  • designing solutions
  • technical leader
  • tangible business value
  • GenAI roadmaps, strategies
  • prioritize high-value use cases
  • guide projects
  • cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams
  • 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers
  • leading complex deployments of Generative AI or traditional machine learning systems
  • infrastructure and network architecture considerations
  • hands-on proficiency in languages like Python, JavaScript, or similar
  • building prototypes or proofs of concept
  • end-to-end ownership of challenges
  • proactively acquiring new skills or knowledge as needed to drive success

Other signals

  • customer-facing
  • post-sale technical guidance
  • production deployments
  • architectural guidance
  • prototypes