Why This Job is Featured on The SaaS Jobs
AI Deployment Engineering sits at a growing intersection in SaaS: productized AI capabilities and the practical work of getting them into real customer environments. This role is anchored in post-sale deployment, where model APIs become production systems, and where adoption depends on architecture choices, operational readiness, and clear prioritization of use cases across different industries.
For a SaaS career, the position builds durable skills around taking emerging platform technology from prototype to enterprise-grade rollout. The work naturally touches common SaaS levers—time-to-value, repeatable implementation patterns, and feedback loops that inform product direction—while strengthening the ability to translate between executive goals and engineering constraints. Exposure to documentation and open-source contributions also signals an emphasis on creating reusable assets that scale beyond one engagement.
The role tends to suit professionals who prefer hybrid technical-and-stakeholder work over purely internal engineering. It aligns with someone comfortable owning ambiguous deployment problems end-to-end, collaborating across Sales, Product, and Research, and balancing multiple customer workstreams while maintaining a systems view of reliability and governance.
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 team
The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership.
As an AI Deployment Engineer, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models.
About the role
We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realize 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 primarily remote, with periodic travel to our HQ and customer sites as needed.
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’ll 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.
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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