# AI Deployment Engineer, Agent Enablement

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Solutions Architecture
**Salary:** $197k – $280k/yr
**Experience:** 4+ years
**Skills:** OAuth, OIDC, pkce, APIs, SDKs, clis, mcp servers, Full-Stack Development, identity protocols, LLM APIs, agent workflows, evaluations, Observability
**Posted:** 2026-07-21

> Hands-on, partner-facing AI Deployment Engineer helping strategic partners design, build, and launch secure agent enablement integrations with OpenAI's ChatGPT and Codex using identity, OAuth, and agent workflows. Requires 4+ years software/AI engineering experience, full-stack and auth expertise, and comfort leading technical engagements with external teams.

## Job Description

## Responsibilities
- 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, 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, Codex, and the Agent Enablement platform, 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, and turn recurring integration patterns into platform requirements, reference architectures, playbooks, and developer guidance.

## Requirements
- 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.
- 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.
- Built and operated production full-stack products, APIs, backend services, developer platforms, connectors, or integrations, and can reason across frontend, backend, auth, data models, reliability, privacy, and UX constraints.
- 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.
- 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.

## Nice-to-Haves
- 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 products, LLM APIs, ChatGPT or Codex surfaces, coding harnesses, developer platforms, agent workflows, or ecosystem products.
- Experience with evaluations, staged rollouts, observability, incident response, launch operations, and turning production learnings into durable platform improvements.

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