AI Deployment Engineer, Large Enterprise

OpenAI OpenAI · AI Frontier · London, United Kingdom · Go To Market

AI Deployment Engineer role focused on post-sale customer engagement to ensure safe and effective deployment of Generative AI applications for developers and enterprises. The role involves acting as a trusted advisor, helping customers build and execute AI adoption strategies, identify and prioritize GenAI use cases, and guide projects from prototype to production. Responsibilities include serving as a technical subject matter expert, engaging with senior stakeholders, providing architectural guidance, building prototypes, and contributing to knowledge sharing.

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 communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.
  • Experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.
  • Hands-on proficiency in languages like Python, JavaScript, or similar, and comfortable building prototypes or proofs of concept.
  • End-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.
  • Humble, collaborative mindset and an eagerness to support teammates and customers alike.
  • Ability to thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.

What the JD emphasized

  • post-sale
  • technical leader
  • enterprise-grade production deployments
  • holistic view of each customer’s architecture and operations
  • designing solutions
  • leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services
  • cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams
  • primary technical subject matter expert post-sale
  • embedding deeply
  • design and deploy GenAI solutions
  • senior business and technical stakeholders
  • identify, prioritize, and validate the highest-value GenAI applications
  • customer time to value
  • architectural guidance
  • building hands-on prototypes
  • advising on best practices for scaling solutions in production
  • strong relationships with leadership and technical teams
  • drive adoption, expansion, and successful outcomes
  • Contribute to open-source resources and enterprise-facing technical documentation
  • scale best practices across customers
  • Share learnings and collaborate with internal teams
  • inform product development
  • improve customer outcomes
  • Codify knowledge and operationalize technical success practices
  • scale impact across industries and customer types
  • technical consulting
  • post-sales engineering
  • solutions architecture
  • 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
  • comfortable building prototypes or proofs of concept
  • Take end-to-end ownership of challenges
  • proactively acquiring new skills or knowledge as needed
  • drive success
  • Thrive in fast-paced environments
  • adeptly managing multiple workstreams
  • prioritizing for the highest customer impact

Other signals

  • customer-facing technical role
  • post-sale engagement
  • deploying generative AI applications
  • driving initiatives from prototype to production
  • architectural guidance
  • building hands-on prototypes