AI Deployment Engineer, Agent Enablement

About The Team

The Agent Enablement AI Deployment Engineering (ADE) team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly.

About The Role

We are looking for an AI Deployment Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations.

You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives.

This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to help partners ship low-friction, trustworthy agent experiences that work across real-world account states, enterprise constraints, and user expectations.

This role is based in our San Francisco office. 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

• Own the technical partner journey for priority agent enablement integrations—from use-case selection and readiness assessment through architecture, prototype, implementation, evaluation, launch, rollout, and ongoing maintenance.
• Help partners choose and implement the right integration path across browser sign-in, connector-initiated OAuth, and agentic account linking or provisioning.
• Write production and sample code, build reference implementations and test harnesses, and create the technical guidance that moves partners from concept to production.
• Debug identity and agent workflows end to end: user interface state, browser redirects, PKCE/OIDC transactions, token exchange, rate limits, logs, traces, and metrics.
• Review partner architectures and implementation plans for API contracts, scopes and permissions, consent, privacy, reliability, and long-term maintainability.
• Run hands-on evaluations, dogfood, launch-readiness reviews, and post-launch investigations to turn findings into concrete fixes.
• Contribute targeted improvements to ChatGPT, Codex, and the Agent Enablement platform, including APIs, SDKs, docs, and user-facing consent experiences.
• Work closely with cross-functional teams to make partner launches smooth, safe, and repeatable.
• Bring structured signals from partners back to product and engineering to build reference architectures and playbooks.

You’ll Thrive In This Role If You

• Have 4–6 years of professional software engineering or AI engineering experience and are strong enough technically to contribute to the platform itself while still enjoying hands-on coding.
• Have operated in a customer or partner-facing role in scoping projects, building MVPs, and presenting trade-offs in solution design and architecture.
• Have built and operated production full-stack products, APIs, backend services, developer platforms, connectors, or integrations.
• Have a strong understanding of how plugins and connectors work with coding agents, integrating MCP servers, and using CLIs and APIs.
• Can work comfortably with external engineers, product leaders, and executives, and translate partner feedback into crisp technical plans.
• Are comfortable with ambiguity and rapidly changing conditions, turning high-level ideas into runnable prototypes and API contracts.
• Balance urgency with judgment and can keep complex partner launches moving while staying precise about the details.

Preferred Qualifications

• High-level understanding of the identity stack, including how OAuth works.
• Experience designing or operating APIs, webhooks, schemas, SDKs, CLIs, MCP servers, or tool-calling systems.
• Prior customer-facing or partner-facing engineering experience, including leading technical calls and helping external teams ship production software.
• Strong familiarity with AI products, LLM APIs, ChatGPT or Codex surfaces, coding harnesses, developer platforms, or agent workflows.
• Experience with evaluations, staged rollouts, observability, incident response, and launch operations.

About OpenAI & Policies

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. We are committed to providing reasonable accommodations to applicants with disabilities.

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.

Compensation Range: $197,000 - $280,000