AI Jobs Map

OpenAI · San Francisco, CA

Applied AI Engineer, Agent Enablement

Hybrid$197,000 – $280,000 / yearPosted today
Apply on IndeedOpens the original posting. AI Jobs Map never asks for your details.

Stack mentioned

openaioauthagentic-aiwebhooksartificial-intelligence

Technical Success - San Francisco

About the team

The Agent Enablement Applied AI Engineering 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 Applied AI Engineer to help strategic partners design 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-ining or provisioning, with clear user journeys and safe fallback behavior.

-
Write production and sample code, build reference implementations and test harnesses, and create the technical guidance, integration checklists, evaluations, and debugging tools that move partners from concept to production.

-
Debug identity and agent workflows end to end: user interface state, browser redirects, PKCE/OIDC transactions, token exchange and validation, account mapping, connector callbacks, CLI or MCP handoffs, latency, retries, rate limits, logs, traces, and metrics.

-
Review partner architectures and implementation plans for API contracts, scopes and permissions, consent, terms acceptance, and account policy, secret handling, data boundaries, privacy, reliability, and long-term maintainability.

-
Run hands-on evaluations, dogfood, launch-readiness reviews, staged rollouts, and post-launch investigations; turn findings into concrete fixes rather than one-off workarounds.

-
Contribute targeted improvements to ChatGPT, including identity protocols, APIs, SDKs, docs, examples, internal tooling, partner-debugging workflows, launch guardrails, and user-facing consent or control experiences.

-
Work closely with product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams to make partner launches smooth, safe, and repeatable.

-
Bring structured signals from partners back to product and engineering requirements, reference architectures, playbooks, and developer guidance.

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 roles in scoping projects, building MVPs, presenting trade-offs in solution design and architecture, understanding user value drivers as well as scoping and executing on tight implementation plans.

-
Have built and operated production full-stack productss, connectors, or integrations, and can reason across frontend, backend, auth, data models, reliability, privacy, and UX constraints.

-
Have a strong understanding of how plugins and connectors work with coding agents, integrating MCP servers, using CLIs and APIs to access external tools.

-
Can work comfortably with external engineers, product leaders, and executives, and translate partner feedback into crisp technical plans and product improvements.

-
Are comfortable with ambiguity and rapidly changing conditions, and can turn high-level ideas into runnable prototypes, API contracts, technical specs.

-
Balance urgency with judgment and can keep complex partner launches moving while staying precise about the details that matter.

Preferred qualifications:

-
High-level understanding of the identity stack, including how OAuth works.

-
Experience designing or operating APIs, webhooks, schemas, SDKs, CLIs, MCP servers, tool-calling systems, or other developer-facing integrations.

-
Prior customer-facing or partner-facing engineering experience, including leading technical calls, navigating ambiguity, and helping external teams ship production software.

-
Strong familiarity with AI productss, agent workflows, or ecosystem products.

-
Experience with evaluations improvements.

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 the full spectrum of humanity.

We are an equal opportunity employeration, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.

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

$197K – $280K + Offers Equity

More jobs at OpenAI

Similar roles in San Francisco