Jobs at OpenAI

The role involves building infrastructure for AI agent execution environments, ensuring system reliability and optimizing performance at scale.

Own executive relationships with large life sciences accounts to drive adoption of OpenAI technology. Lead complex, multi-stakeholder sales cycles across R&D, medical, regulatory, and commercial teams; design pilots with solutions and research engineering; ensure compliance with privacy and security requirements; manage revenue and pipeline targets; monitor regulatory trends and represent OpenAI at industry events.

The Forward Deployed Software Engineer will design custom software solutions using OpenAI's APIs, work closely with customers, and provide technical expertise to solve complex problems while collaborating with various teams.

The Forward Deployed Engineer leads customer-facing deployments of AI models, building full-stack systems, scoping work, and delivering value under ambiguity. They ensure quality delivery and share feedback to influence product improvements.

Partner with advertisers and agencies across pre-sales and growth to design, implement, and troubleshoot ad measurement, integrations, data activation, and campaign execution. Provide technical discovery, build demos and POCs, document best practices, and work cross-functionally to scale adoption and influence product roadmap.

As a Software Engineer in Infrastructure Reliability, you'll design and build resilient systems, optimize performance, improve automation, and collaborate with teams to enhance infrastructure reliability.

Develop and scale new LLM architectures, run and analyze training experiments, debug and optimize model and compute performance, and contribute to training and inference infrastructure. Work collaboratively to improve model intelligence, efficiency, and capabilities. Role is hybrid, based in London with relocation assistance.

Build and operate backend systems, workflow tooling, and data pipelines for lawful data access requests. Implement least-privilege access, audit trails, data minimization, and approval gates. Partner with Legal and Operations to translate requirements into secure, auditable, and operator-friendly systems. Own production reliability, testing, observability, and incident response while defining reusable privacy infrastructure.

Build and operate backend systems, workflow tooling, and data pipelines to support lawful data access requests. Implement least-privilege, audit trails, approval gates, and data-minimization. Partner with Legal and Operations, automate responsibly, and own production reliability, observability, incident response, and documentation while shaping privacy infrastructure.

Lead AWS/OpenAI co-sell pursuits by qualifying and shaping large GenAI and cloud transformation deals. Align AWS and OpenAI field teams, develop value propositions, drive executive engagement, coordinate cross-functional stakeholders, build repeatable co-sell playbooks, manage pipeline and forecasts, and serve as trusted strategic advisor to close complex enterprise opportunities.

As an AI Deployment Engineer, you will work with startups to optimize AI systems, prototype solutions, and improve model behavior while collaborating closely with product and research teams.

Design and build distributed systems for large-scale AI training, focusing on performance, stability, monitoring, and debugging of infrastructure.

The AI Deployment Engineer will guide enterprise customers in deploying Generative AI applications, ensuring business value realization and managing project lifecycles from prototyping to production.

Partner with OpenAI research teams to define hiring priorities and execute strategic searches for top AI/ML researchers and technical scientists. Proactively source and cultivate talent across industry and academia, influence compensation and leveling, advise on candidate evaluation and closing, and collaborate with sourcing partners on complex, high-impact hires.

Lead and coordinate Technology Capital Builds across Real Estate, IT, Security and vendors to deliver networks, low-voltage, AV, access control, surveillance, and datacenter systems on scope, schedule, budget, and quality, and transition systems to operations.

Develop and optimize large-scale compute systems for AI workloads, improving infrastructure reliability and performance across various layers of the stack.

Develop software for Codex focusing on enterprise solutions, building APIs, integrating with identity systems, and collaborating with teams to ensure quality.

Design and maintain scalable systems, collaborate with cross-functional teams, and enhance internal tooling while focusing on reliability and performance in infrastructure.

Lead end-to-end technical delivery of AI/LLM deployments: translate business outcomes into technical plans, run cross-functional execution, embed with customers for adoption, manage dependencies and sequencing, measure ROI, and codify reusable solution patterns while partnering with Product and Research.

Build, operate, and automate large-scale GPU/compute infrastructure for ChatGPT. Design platforms for capacity planning, scheduling, fleet health, observability, incident response, and AI-powered operational tooling to improve reliability, utilization, and developer productivity across thousands of GPUs.