AI Deployment Engineer

90 billion by 2027, making this an exciting time to join the field. Before applying, candidates should be aware that a strong background in technical consulting, solutions architecture, or similar experience is crucial for success in this role.

## About the Role As an AI Deployment Engineer at Openai, you will be part of the Technical Success team, which is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. Your role will involve working closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments. You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and the broader ecosystem of tools and services. The success of this role relies heavily on collaboration with cross-functional teams, including Sales, Solutions Engineering, Applied Research, and Product teams. This position reports to the Head of Solutions Architecture for your segment and is based in Madrid. In today’s fast-paced digital landscape, the ability to deploy AI solutions effectively is crucial for businesses looking to stay ahead of the curve. As an AI Deployment Engineer, you will play a key role in helping companies across industries transform their business through solutions such as customer service, automated content generation, and novel applications that make use of the newest, most exciting models. ## What You Will Do - 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.

• Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.
• 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 to scale best practices across customers.
• 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 across industries and customer types.
• Develop and maintain a deep understanding of Openai's products and technologies, including ChatGPT and the OpenAI API.
• Stay up-to-date with industry trends and advancements in AI and machine learning, applying this knowledge to improve deployment strategies and solutions.
• Collaborate with the sales team to identify new business opportunities and develop strategic plans to pursue them.

## What We Are Looking For - 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

• Strong communication skills, with the ability 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, including infrastructure and network architecture considerations.
• Hands-on proficiency in languages like Python, JavaScript, or similar, and comfort building prototypes or proofs of concept.
• End-to-end ownership of challenges, with the ability to proactively acquire new skills or knowledge as needed to drive success.
• A 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.
• Strong problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions.
• Experience working in a remote or distributed team environment, with a self-motivated and disciplined approach to work.

## Nice to Have - Experience with cloud-based technologies, such as AWS or Azure.

• Familiarity with agile development methodologies and version control systems like Git.
• Knowledge of DevOps practices and tools, such as Docker or Kubernetes.
• Certification in machine learning or AI-related technologies.
• Experience working with cross-functional teams, including sales, marketing, and product development.

## Benefits and Perks - Competitive salary and benefits package, tailored to the Spanish market.

• Opportunities for professional growth and development in a rapidly expanding field.
• Collaborative and dynamic work environment with a team of experienced professionals.
• Flexible working hours and remote work arrangements.
• Access to cutting-edge technologies and tools, including ChatGPT and the OpenAI API.
• Participation in Openai’s equity program.
• Comprehensive health insurance and wellness programs.
• Generous paid time off and holiday policy.
• Opportunities for professional networking and attending industry conferences.

- Tip: Develop a strong portfolio showcasing your experience with AI and machine learning technologies, including any personal projects or contributions to open-source initiatives.

• Ensure you have a solid understanding of cloud-based technologies and DevOps practices, as these are highly valued in the industry.
• Prepare to discuss your experience with complex deployments and how you handle challenges in a fast-paced environment.
• Highlight your ability to communicate technical concepts to non-technical stakeholders, as this is a key skill for success in this role.
• Research Openai’s products and technologies, including ChatGPT and the OpenAI API, to demonstrate your interest and enthusiasm for the company and its mission.
• Be prepared to discuss your approach to collaboration and teamwork, as well as your experience working in remote or distributed team environments.