AI Deployment Engineer

OpenAI, Inc.

Job Overview

Location

Madrid, Spain

Job Type

Full-time

Full Job Description

📋 Description

• Serve as the primary technical subject matter expert post-sale for a portfolio of enterprise customers, embedding deeply to design and deploy Generative AI solutions using ChatGPT and OpenAI APIs.
• Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI use cases aligned with customer business objectives.
• Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on production-scale best practices for GenAI systems.
• Maintain strong relationships with customer leadership and technical teams to drive adoption, expansion, and successful outcomes of AI deployments.
• Contribute to open-source resources and enterprise-facing technical documentation to scale proven practices across diverse customer segments.
• Collaborate cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams to align customer feedback with product development priorities.
• Codify operational knowledge and standardize technical success practices to enable scalable impact across industries and customer types.
• Take end-to-end ownership of customer deployment challenges, proactively acquiring new technical or domain-specific knowledge to ensure success.
• Design holistic solutions that integrate ChatGPT, OpenAI APIs, and complementary tools within customer architecture and operational environments.
• Guide customers through the full lifecycle of GenAI projects—from early prototyping to enterprise-grade production deployments—with attention to infrastructure, security, and scalability.
• Share learnings and insights internally to improve product features, documentation, and customer success frameworks.
• Act as a trusted advisor and thought partner to enterprise clients, helping them transform business processes through innovative AI applications such as automated content generation and customer service automation.
• Maintain a humble, collaborative mindset while supporting both customers and internal teams to achieve shared goals in a fast-paced, evolving environment.
• Manage multiple concurrent customer workstreams, prioritizing initiatives based on potential business impact and technical feasibility.
• Ensure deployments adhere to safety, reliability, and ethical guidelines aligned with OpenAI’s mission of ensuring AI benefits all of humanity.

🎯 Requirements

• 5+ years of technical consulting, post-sales engineering, or solutions architecture experience working directly with enterprise customers
• Hands-on proficiency in Python, JavaScript, or similar programming languages for building prototypes and proofs of concept
• Experience leading complex deployments of Generative AI or machine learning systems, including infrastructure and network architecture considerations
• Strong communication skills to articulate technical and business concepts to both executive and practitioner audiences
• Demonstrated ability to take end-to-end ownership of customer challenges and proactively acquire new skills to drive success
• Humble, collaborative mindset with a focus on supporting teammates and customers in fast-paced environments

🏖️ Benefits

• Opportunity to shape the future of AI deployment alongside leading researchers and engineers at OpenAI
• Work with cutting-edge Generative AI technologies including ChatGPT and OpenAI APIs in real-world enterprise settings
• Collaborative culture focused on safety, ethics, and human-centered AI development
• Exposure to cross-functional teams including Applied Research, Product, and Sales to influence product direction
• Contribution to open-source and enterprise documentation that scales impact across global customers
• Support for professional growth through exposure to diverse industries and complex technical challenges

Skills & Technologies

Python

JavaScript

Onsite

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OpenAI, Inc.

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About OpenAI, Inc.

OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.

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