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“Work at the Frontier: Forward Deployed Engineering at OpenAI”
Forward Deployed Engineering
Our FDEs embed with your team, observe your workflows, and drive transformation opportunities to make AI solutions reliable and scalable across your business.
Intelligence is already here. Put it to work.
Build as one team: FDEs work alongside you to bring AI into production, connecting your systems and context with testing and security.
Build at the frontier: For challenges beyond today’s models, FDEs work directly with OpenAI’s Product and Research teams to extend their capabilities.
Build for tomorrow: FDEs equip your team with the tools and expertise to keep building and expand AI adoption.
We start with the outcome and do what it takes to get there
Our engineers learn how your business works and build alongside your team. We work directly with OpenAI’s Product and Research teams where needed to get something useful into people’s hands, then make what works repeatable.
Map your processes
We start where your business is today and build for tomorrow. Our FDEs sit alongside your experts to envision the transformation needed to achieve your goals.
Define success
Define the business value you want to create, from lowering costs, saving time, improving customer experience, or growing revenue.
Prove it in production
Put a useful system in people's hands quickly, learn from real use, and improve it with each iteration.
Scale what works
Package proven workflows, domain expertise, and integrations into reusable capabilities shared across your teams.
Build and ship with OpenAI
A typical engagement starts with the outcome and we build the path to get there.
Who we are working with
The platform behind the progress
FDE brings OpenAI’s models, reusable engineering, and a direct connection to product and research. We adapt proven approaches where they fit and build what’s needed around your goals, systems, and workflows.
Workflow automation
Disconnected systems and manual handoffs slow down customer service and internal operations. OpenAI Presence connects AI agents to your systems and policies to handle conversations and tasks, with testing, access controls, and human oversight.
Enterprise context
Business knowledge is scattered across systems, documents, and teams. Context Layer gives agents access to your data, definitions, and expertise through a shared foundation teams can improve and reuse across workflows.
Process discovery
Understanding how work happens across apps and systems takes time. Turn workflow recordings into process maps that show where teams can simplify steps, reduce rework, or automate tasks.
Code modernization
Technical debt takes engineering time away from new developments. Reusable Codex workflows help teams understand legacy systems, plan migrations, and make changes engineers can review and test against existing behavior.
