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Properties

title: Applied AI Engineer, Agent Enablement
family: enablement
maturity: emerging
owns: Owns the technical partner journey that turns an external website or service into an 'agent-enabled' site: scoping the integration, guiding partners through sign-in, OAuth, and agentic account-linking paths, building reference implementations and test harnesses, debugging identity workflows end to end, and reviewing partner architectures for API contracts and privacy compliance so ChatGPT and Codex agents can safely act on a partner's behalf.
skills: [production full-stack APIs and backend services][OAuth and identity-stack integration][MCP servers, connectors, and CLI tooling for coding agents][partner-facing technical scoping and architecture review][debugging identity and agent workflows end to end][cross-functional work with product, design, partnerships, and security teams]
seniority: ic
distinctFrom: Unlike a forward-deployed-engineer (who embeds inside one enterprise customer's environment for weeks or months) or an ai-integration-engineer (who connects AI to a single enterprise's internal systems), this role builds the identity, auth, and agent-linking rails that let many external, unaffiliated websites and services become part of an open agent ecosystem: platform partner engineering for a many-to-many ecosystem, not single-account embedding or internal integration.
source: OpenAI careers (Ashby), Applied AI Engineer, Agent Enablement
notes: OpenAI has stood up a distinct 'Agent Enablement' function to grow an open ecosystem of agent-enabled partner sites and services. Retitled 2026-09-25: OpenAI's own Ashby-hosted job board and an independent Stripes Job Board mirror both now show the title as 'Applied AI Engineer, Agent Enablement' on the 'Agent Enablement Applied AI Engineering team' (previously tracked as 'AI Deployment Engineer, Agent Enablement'). The Stripes mirror's mandate line matches the originally-tracked scope verbatim: 'grow an open ecosystem of agent-enabled sites and services.' Source corrected to the Ashby board: the previously-cited harvey.ai/careers URL is a generic Harvey careers index page that does not describe this OpenAI role at all (a cross-wired citation from the prior round; that Harvey source actually belongs to the separate ai-enablement-engineer entity). openai.com/careers/ai-deployment-engineer-agent-enablement-san-francisco/ (the original first-party URL; old title still in its slug) still returns 403 to automated fetch. Pay remains omitted: third-party mirrors still disagree sharply ($120K-$160K, about $238K, $197K-$280K) and none is a confirmed quote of OpenAI's own disclosed range.

Provenance

Source: https://jobs.ashbyhq.com/openai/c1a28411-266b-487b-8ef3-03efb254fc36

Properties

title

Applied AI Engineer, Agent Enablement

family

enablement

maturity

emerging

owns

Owns the technical partner journey that turns an external website or service into an 'agent-enabled' site: scoping the integration, guiding partners through sign-in, OAuth, and agentic account-linking paths, building reference implementations and test harnesses, debugging identity workflows end to end, and reviewing partner architectures for API contracts and privacy compliance so ChatGPT and Codex agents can safely act on a partner's behalf.

skills

[production full-stack APIs and backend services][OAuth and identity-stack integration][MCP servers, connectors, and CLI tooling for coding agents][partner-facing technical scoping and architecture review][debugging identity and agent workflows end to end][cross-functional work with product, design, partnerships, and security teams]

seniority

distinctFrom

Unlike a forward-deployed-engineer (who embeds inside one enterprise customer's environment for weeks or months) or an ai-integration-engineer (who connects AI to a single enterprise's internal systems), this role builds the identity, auth, and agent-linking rails that let many external, unaffiliated websites and services become part of an open agent ecosystem: platform partner engineering for a many-to-many ecosystem, not single-account embedding or internal integration.

source

OpenAI careers (Ashby), Applied AI Engineer, Agent Enablement

notes

OpenAI has stood up a distinct 'Agent Enablement' function to grow an open ecosystem of agent-enabled partner sites and services. Retitled 2026-09-25: OpenAI's own Ashby-hosted job board and an independent Stripes Job Board mirror both now show the title as 'Applied AI Engineer, Agent Enablement' on the 'Agent Enablement Applied AI Engineering team' (previously tracked as 'AI Deployment Engineer, Agent Enablement'). The Stripes mirror's mandate line matches the originally-tracked scope verbatim: 'grow an open ecosystem of agent-enabled sites and services.' Source corrected to the Ashby board: the previously-cited harvey.ai/careers URL is a generic Harvey careers index page that does not describe this OpenAI role at all (a cross-wired citation from the prior round; that Harvey source actually belongs to the separate ai-enablement-engineer entity). openai.com/careers/ai-deployment-engineer-agent-enablement-san-francisco/ (the original first-party URL; old title still in its slug) still returns 403 to automated fetch. Pay remains omitted: third-party mirrors still disagree sharply ($120K-$160K, about $238K, $197K-$280K) and none is a confirmed quote of OpenAI's own disclosed range.