OpenAI seeks an AI Deployment Engineer to guide customers in deploying Generative AI solutions. This role involves post-sales technical leadership, building prototypes, and driving adoption of OpenAI technologies. The engineer will work with enterprise customers to architect and scale GenAI applications.
Responsibilities
Serve as primary technical subject matter expert post-sale for a portfolio of customers.
Engage with senior stakeholders to identify, prioritize, and validate high-value GenAI use cases.
Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.
Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.
Contribute to open-source resources and enterprise-facing technical documentation.
Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.
Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact.
Requirements
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 to executive and practitioner audiences.
Experience leading complex deployments of Generative AI or traditional machine learning systems, including infrastructure and network architecture considerations.
Hands-on proficiency in Python, JavaScript, or similar, and comfortable building prototypes or proofs of concept.
End-to-end ownership of challenges, proactively acquiring new skills as needed.
Humble, collaborative mindset and eagerness to support teammates and customers.
Ability to thrive in fast-paced environments, managing multiple workstreams and prioritizing for highest customer impact.