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.

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.

• 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.

• 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…