19 Jun 2026

AI Deployment Engineer

OpenAI

Sydney

19 Jun 2026

Apply

OpenAI's Applied AI Engineering team is seeking an Applied AI Engineer to partner with enterprise customers in Sydney, designing, building, and deploying AI systems. The role requires hands-on engineering, Python proficiency, and experience taking systems from prototype to production. This is a hybrid role with 3 days in the office per week, offering relocation assistance.

AI-enabledHybridFull-timeEntry LevelPythonJavaScript

AI Deployment Engineer

Apply

AI-enabledHybridFull-timeEntry LevelPython

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid: 3 days in the office per week

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

PythonJavaScriptTypeScriptMachine LearningAIEvaluationObservabilitySecurityData GovernanceIntegrationArchitectureDebuggingProduction Engineering

Soft Skills

CommunicationCollaborationHigh agencyTechnical judgmentOwnershipLearning quicklyChallenging assumptionsHumility

Key Responsibilities

•Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
•Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.
•Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
•Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
•Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.
•Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.
•Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.
•Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.

AIMachine LearningEnterpriseHybridSydneyPythonApplied AIEngineeringFull-time

Key Responsibilities

•Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.

•Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.

•Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.

•Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.

•Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.

•Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.

•Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.

•Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.