AI Deployment Engineer
Application analysis
AI Deployment Engineer at OpenAI is a forward deployed ai research lab role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Forward Deployed Engineer role centers on embedded customer delivery — discovery, prototyping, integration, and production rollout. Key signals from the listing: Python, 5+ years experience, Senior scope.
About OpenAI
OpenAI ships frontier models to real customers through small, high-trust engineering teams. Forward deployed roles sit between product, research, and enterprise buyers. The role is anchored in Madrid, Spain, so expect on-site customer work in that region.
Signals in the listing
Stand out for AI Deployment Engineer
- Lead your application with one paragraph tying AI Deployment Engineer to a specific customer or deployment you owned — OpenAI hires for shipped outcomes, not tool lists.
- Prepare a 5-minute “week one on site” plan: who you would meet, what you would inspect in their stack, and what artifact you would deliver by day five.
- Show you can go from discovery notes → working integration → production checklist without needing a large internal team.
- This role is tied to Madrid, Spain — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at OpenAI
- Demonstrate customer obsession with safety constraints with a concrete example — OpenAI will probe for specifics, not buzzwords.
- Demonstrate writing and communication with a concrete example — OpenAI will probe for specifics, not buzzwords.
- Interview loops emphasize problem decomposition, taste in product, and whether you can earn trust with technical and non-technical stakeholders quickly.
- Read recent engineering blog posts, product launches, and customer stories on openai.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
About the Team
The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer, you’ll help companies across industries transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.
About the Role
We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work 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 our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment. This role is based in Madrid In this role, you will:
- 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.
You might thrive in this role if you:
- Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
- Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.
- Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.
- Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.
- Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.
- Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.
- Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.