Ai Deployment Engineer Codex Or Sydney Sydney Australia
Classified Tasks (13)
Augment (7)
AI assists, human decides
Partner directly with customers to design and implement AI-enhanced development workflows from rapid prototyping through scalable production rollout.
technical
Design, validate, and scale advanced AI workflows in collaboration with engineering leaders and hands-on builders.
technical
Build high-quality demos, reference implementations, integrations, and workflow automations using Codex as part of the development process.
technical
Contribute technical content—examples, guides, patterns, and best practices—to the OpenAI Cookbook and other developer resources.
communication
Gather high-fidelity product insights from real customer deployments and translate them into product proposals and model feedback for internal teams.
analytical
Guide engineering teams to integrate Codex into their projects, workflows, demos, and production systems.
technical
Collaborate with Sales, Solutions Engineering, Product, Applied Engineering, and broader Codex teams to advocate for customer needs, shape product direction, and accelerate deployments.
communication
Human-Only (6)
Requires human judgment
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers and embed with their teams to enable engineering adoption.
leadership
Lead large-format workshops, technical deep dives, and hands-on enablement sessions to drive effective and safe adoption of AI coding tools.
communication
Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
leadership
Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
leadership
Help customers adopt OpenAI's coding tools throughout their software development lifecycle.
operational
Accelerate customer software planning, building, and delivery by working side-by-side with their engineering teams.
operational