Jobs at OpenAI

Design, build, evaluate, and deploy AI systems for enterprise customers. Responsibilities include creating prototypes and production integrations, diagnosing implementation issues, making decisions about reliability, security, governance, latency, cost, and safety, and helping customers scale adoption. The role also develops reusable architectures, tooling, playbooks, and technical guidance while partnering with customer and internal engineering, product, research, security, and go-to-market teams.

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.

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.

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

Design, operate, troubleshoot, and automate secure enterprise routing, switching, wireless, WAN, and cloud connectivity. Balance platform architecture, standards, lifecycle planning, and automation with incident response, change safety, and operational delivery. Reduce recurring reactive work through software, APIs, Infrastructure-as-Code, Git workflows, testing, and CI/CD.

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.

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

Lead the Large Enterprise AI Deployment Engineering team across EMEA to drive GenAI use cases into production. Manage customer technical journeys, align engineering and product roadmaps, mentor ADEs, and serve as primary technical escalation and industry thought leader.

The role involves developing distributed systems software in Rust and Python, optimizing performance, reliability, and overseeing large-scale machine learning workloads.

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.

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.