Why This Job is Featured on The SaaS Jobs
This Partner AI Deployment Engineer role sits at a key junction in today’s SaaS ecosystem: turning frontier AI capabilities into production deployments through channel partners. Rather than building a single customer implementation, the work spans multiple partner-led engagements across EMEA, reflecting how enterprise SaaS adoption increasingly scales via ecosystems, reference architectures, and repeatable delivery patterns.
For SaaS professionals, the durable career value here is exposure to the full lifecycle of enterprise-grade rollout on a platform product: design translation, integration, operational readiness, and post go-live reliability. The emphasis on governance, safety, and quality standards maps closely to the realities of shipping platform features that others build on. Experience synthesising field feedback into playbooks also develops a product-minded delivery skill set that transfers across platform, solutions, and customer engineering tracks in SaaS.
This position is best suited to engineers who prefer partner-facing delivery over owning a single internal codebase, and who are comfortable aligning many stakeholders around practical deployment decisions. It fits someone who enjoys hands-on troubleshooting alongside architectural guidance, and who wants their impact measured through repeatability and reduced delivery risk across multiple implementations.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the role
We are looking for a Partner AI Deployment Engineer (P-ADE) to lead technical delivery with OpenAI partners across EMEA and help scale customer deployments built on the OpenAI platform. This role focuses on working across a wide range of customer use cases, supporting the design, deployment and scaling of production-grade AI solutions delivered through partners.
You will work closely with partner delivery teams, alongside Solutions Engineers (SEs), Forward Deployed Engineers (FDEs) and other ADEs, to move customer engagements from initial design through to stable, scaled production. Your work will accelerate time to value, reduce delivery risk and ensure solutions meet OpenAI’s standards for quality, safety and reliability. You will collaborate closely with GTM, Applied, and Research to support partner-led enterprise adoption.
This role is based in Paris or Munich. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Act as a primary technical delivery partner for a set of OpenAI partners across EMEA, supporting customer deployments across multiple industries and use cases.
Work with partner delivery teams and customer stakeholders to translate solution designs into deployable, production-ready architectures on the OpenAI platform.
Support customer time to value through hands-on prototyping, integration support, architectural guidance and troubleshooting during critical phases of delivery.
Collaborate closely with SEs, FDEs, and other ADEs to ensure the right technical expertise is engaged from design through production rollout.
Help partners operationalise solutions by addressing scalability, reliability, security and safety considerations required for enterprise production environments.
Contribute to reusable deployment patterns, reference architectures and delivery guidance that enable repeatable execution across partner engagements.
Act as a technical quality and governance point during deployments, helping ensure solutions meet OpenAI’s standards and best practices before and after go-live.
Capture and synthesise feedback from real customer deployments and share insights with Applied, Research and partner teams to improve delivery playbooks and platform capabilities.
You’ll thrive in this role if you:
Have 8+ years of experience in technical consulting, solution delivery or a similar role, working with senior technical and business leaders on complex enterprise deployments.
Have experience delivering large, multi-stakeholder technical projects in partnership with boutique services organisations, system integrators or similar delivery environments.
Have strong hands-on experience building, integrating and operating production software using modern languages such as Python or JavaScript.
Have designed, deployed and supported Generative AI and or machine learning solutions in real-world production environments.
Have practical experience working with the OpenAI platform in customer-facing or delivery contexts.
Are a clear communicator who can work effectively with partner engineers, internal teams and customer stakeholders.
Take ownership of delivery problems end to end and are comfortable operating in ambiguous, fast-moving environments.
Bring a collaborative, humble mindset and enjoy working across partners and internal teams to deliver successful customer outcomes.
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.
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.
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