The opportunity
The Applied AI Engineering team helps enterprises put Codex to work on their most important engineering workflows. We work alongside customer engineers to turn frontier AI capabilities into systems that improve how software is built, shipped, secured, and operated.
What you'll do
Lead customer engineering engagements from workflow discovery and: architecture through implementation, evaluation, and handoff, with clear customer owners, delivery milestones, and measurable success criteria.
Assess customer repositories, data systems, infrastructure, security: controls, and development practices to understand constraints, determine readiness, and identify where Codex can have the greatest impact.
Build and validate workflows alongside customer engineers, developing: integrations, tool gateways, evaluation harnesses, reference implementations, and automations, often using Codex in your own development process.
Establish baselines, quality and security guardrails, and evaluation methods: that demonstrate whether a workflow is reliable, useful, and ready to expand.
Turn customer engagements into reusable tools, architectures, and deployment: patterns, and translate recurring challenges into actionable feedback for product, engineering, and research teams.
Document technical decisions and results for handoff and reuse, establishing: clear customer, partner, or delivery-team ownership for production release, ongoing operation, and maintenance.
What they're looking for
- Use evidence to recommend when to expand a workflow, redirect an engagement,: or stop work when value or feasibility cannot be demonstrated.
- Have 5+ years of relevant experience in software development, deployment: engineering, data or infrastructure engineering, technical consulting, or solutions architecture.
- Can build, debug, and evaluate production-relevant software and quickly understand unfamiliar systems.
- Actively use AI coding tools, have adapted them to your own work, and have a: clear perspective on how agents can automate complete workflows.
