AI Deployment Engineer

OpenAI OpenAI · AI Frontier · Madrid, Spain · Go To Market

Solutions Engineer role focused on post-sale customer engagement to ensure they realize business value from OpenAI technologies. This involves designing and deploying GenAI solutions, providing architectural guidance, building prototypes, and advising on scaling solutions in production. The role works closely with customers' technical teams and internal OpenAI teams (Sales, Solutions Engineering, Applied Research, Product).

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, able to explain technical and business concepts clearly to executive and practitioner audiences.
  • Experience leading complex deployments of Generative AI or traditional machine learning systems.
  • Hands-on proficiency in languages like Python, JavaScript, or similar.
  • Comfortable building prototypes or proofs of concept.

Nice to have

  • Infrastructure and network architecture considerations.

What the JD emphasized

  • post-sale
  • enterprise-grade production deployments
  • scaling solutions in production
  • technical consulting, post-sales engineering, solutions architecture
  • leading complex deployments of Generative AI or traditional machine learning systems

Other signals

  • customer-facing
  • deployment
  • production
  • prototyping
  • scaling solutions