Currently tracking 199 active AI roles, down 29% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $230k–$555k (avg $372k).
OpenAI currently has 235 active AI-related job listings. The majority of these roles are in the application stage, accounting for 32% of the total, followed closely by the agents stage at 29%. The dominant function for hiring is Engineering, with 168 positions. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deploying and managing AI models. In the last 30 days, OpenAI posted 50 new AI roles, representing a 14% increase compared to the previous 30-day period.
OpenAI currently has 254 active AI-related roles in our index. The most common open titles are: AI Deployment Engineer (4), Partner AI Deployment Engineer - AWS (4), AI Deployment Engineer - Startups (3), AI Deployment Engineer- Codex (3), AI Deployment Engineer, Startups (2). Most positions are in Engineering and Research.
OpenAI's active AI hiring is concentrated in: application (33%), agents (28%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
OpenAI is hiring AI talent in: United States (203 roles), United Kingdom (14 roles), Japan (6 roles), Germany (5 roles).
Job postings at OpenAI most frequently reference: model serving, agent orchestration, evals, llm observability, inference infra.
In the past 30 days, OpenAI has posted 56 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Researcher, Loss of Control Researcher focused on mitigating loss of control risk in frontier AI models, designing and implementing an end-to-end mitigation stack for preventing, monitoring, detecting, containing, and enforcing against intentionally subversive or insufficiently controllable model behavior. This involves integrating safeguards across products and research, evaluating technical trade-offs, collaborating with risk modeling and evaluations teams, and executing rigorous testing and red-teaming workflows against advanced AI behaviors like sandbagging, monitor evasion, exploit-seeking, unsafe tool use, or strategic deception. | AgentEval Gate | 10 |
| Security Preparedness Lead, Coding Agents This role focuses on the security preparedness of internal AI coding and research agents, defending them against cyber threats and insider risks. It involves developing threat models, identifying critical security investments, and leading technical execution for security controls. |
| Agent |
| 9 |
| Security Researcher, Agentic AI Threats Research role focused on mitigating AI threats to global security, specifically by identifying and preparing for security threats from advanced internal AI agents. The role involves designing security controls and stress-testing defenses with AI agent evaluations. | Agent | 9 |
| AI Deployment Engineer - Startups AI Deployment Engineer role focused on working with strategic startup customers to optimize AI systems, identify failure modes, and translate learnings into product improvements and evaluation systems. This role involves prototyping prompts and agents, designing evaluations, and acting as a technical partner to customers. | AgentEval Gate | 9 |
| Software Engineer, Foundations Retrieval Software Engineer focused on building and scaling retrieval systems for agentic search, enabling models to retrieve and act on information. This role involves designing and operating indexing systems, retrieval pipelines, and serving layers, with a focus on performance, reliability, and observability at scale. It supports retrieval across OpenAI products and research, integrating with pretraining, inference, and product teams. | AgentServe | 9 |
| Forward Deployed Engineer - Sydney Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside strategic customers. This role involves discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. Success is measured by production adoption, workflow impact, and feedback that influences product and model roadmaps. The FDE will contribute to both customer delivery and core platform development, working closely with various internal teams and potentially contributing code directly. The role requires strong engineering and deployment experience, particularly with LLMs or generative models, and the ability to manage complex systems in ambiguous environments. | AgentServe | 9 |
| Applied AI Engineer, Codex Core Agent This role focuses on improving the performance, reliability, and usefulness of AI agents, specifically for software engineering tasks. It involves designing agent behaviors, developing evaluation metrics, optimizing through prompting and tool-use, analyzing production failures, and building feedback loops to enhance models and agent capabilities. The goal is to bridge the gap between research potential and real-world application, ensuring agents are dependable tools. | AgentPost-train | 9 |
| Software Engineer, Codex Core Agents Software Engineer focused on building and operating the production infrastructure for Codex agents, including sandboxed execution, orchestration, stateful workflows, and optimizing performance (tokens, latency, reliability, cost) for a fleet of AI agents. | AgentServe | 9 |
| AI Deployment Engineer, Startups AI Deployment Engineer focused on working with strategic startup customers to optimize their AI systems, prototype prompts/agents, and translate customer feedback into reproducible evaluations and product improvements for OpenAI's research and products. The role involves deep technical engagement, understanding system behavior, and building relationships within the startup ecosystem. | AgentEval Gate | 9 |
| Security Researcher, Codex Security Lead security research on AI systems, focusing on vulnerability discovery, validation, and remediation using AI agents. This role involves building AI-driven systems, improving model capabilities, and contributing to the Codex Security product line. | AgentData | 9 |
| Forward Deployed Engineer (FDE) - Seattle This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, building full-stack systems, and driving production adoption. It involves technical scoping, system design, build, and rollout, with a strong emphasis on customer collaboration and using evaluation feedback to influence product and model roadmaps. The role requires contributing code, codifying patterns, and sharing field insights. | AgentServe | 9 |
| Product Manager, API Agents Product Manager for OpenAI's API Agents team, focusing on defining and guiding the future of agentic applications built on OpenAI's models. The role involves understanding developer needs, setting roadmap priorities, and collaborating with research and engineering to deliver developer products and features like SDKs and APIs. | Agent | 9 |
| Researcher, Frontier Cybersecurity Risks Researcher focused on identifying and mitigating cybersecurity risks associated with frontier AI models, designing and implementing an end-to-end mitigation stack for prevention, monitoring, detection, and enforcement. | AgentEval Gate | 9 |
| Offensive Security Engineer, Agent Products Principal-level Offensive Security Engineer focused on deep, hands-on penetration testing of OpenAI’s agent-powered products, infrastructure, and model-integrated application surfaces. Assesses complex systems, identifies vulnerabilities, validates exploitability, and partners with engineering teams to drive fixes. Builds tools and automation for offensive security workflows. | Agent | 9 |
| Data Scientist, Codex This role focuses on measuring and accelerating product-market fit for AI developer tools, specifically within the Codex product team at OpenAI. The Data Scientist will define developer productivity metrics, design and interpret A/B tests for new coding models and features, and analyze model performance across various languages and tasks. The insights generated will directly influence the product's direction and the broader software engineering industry. | Agent | 9 |
| Forward Deployed Engineer - Munich This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, involving system design, build, and production rollout. The engineer will work closely with customer teams to deliver value, gather feedback for product and model improvements, and contribute to the development of reusable tools and playbooks. The role requires strong engineering experience, including building and deploying LLM-powered systems, and the ability to manage complex projects in ambiguous environments. | AgentServe | 9 |
| Forward Deployed Engineer - Paris This role focuses on deploying frontier AI models into production systems for strategic customers, involving end-to-end ownership from discovery and scoping to system design, build, and rollout. The engineer will partner with customer teams, contribute code, build full-stack systems, and provide feedback to improve models and product roadmaps, measuring success through adoption and impact. | AgentServe | 9 |
| Forward Deployed Engineer - Dublin This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, involving technical scoping, system design, build, and production rollout. The engineer will partner closely with customer teams, contribute code, and codify working patterns into reusable tools. Success is measured by production adoption, workflow impact, and feedback that influences product and model roadmaps. The role requires experience in building or deploying LLM-powered systems and delivering complex systems in ambiguous environments. | AgentServe | 9 |
| Research Engineer, Codex Research Engineer role focused on building and improving AI systems for code generation, reasoning, and agentic behavior. The role involves research, experimentation, system optimization, and deployment across the full lifecycle of coding capabilities, aiming to enhance products like ChatGPT and the API. | AgentServe | 9 |
| Software Engineer, Agent Infrastructure Software Engineer role focused on building and scaling the infrastructure for training and deploying AI agents, including a novel container orchestration platform and production deployment systems. Collaborates with researchers and product teams to enable complex agentic models and launch agentic products. | AgentServe | 9 |
| Research Engineer, Retrieval & Search, Applied Engineering Research Engineer focused on retrieval and search algorithms and methodologies for production deployment in API and ChatGPT, involving novel research and collaboration with cross-functional teams. Requires experience in production ML systems, vector databases, and internet-scale search. | AgentServe | 9 |
| AI Deployment Engineer AI Deployment Engineer role focused on partnering with strategic platform customers to identify, design, and implement Generative AI solutions using OpenAI's API and models. The role involves technical guidance, building prototypes, and ensuring successful deployment and scaling of AI applications. | Agent | 8 |
| AI Deployment Engineer, Startups AI Deployment Engineer at OpenAI, working with startups to optimize AI systems, identify failure modes, and translate learnings into product improvements and evaluation systems. Role involves prototyping prompts/agents, designing evaluations, and collaborating across research and product teams. | AgentEval Gate | 8 |
| Full Stack Software Engineer, Codex Full Stack Software Engineer to invent AI-powered software development workflows, applying AI across the entire SDLC from design to support. The role involves owning complete product experiences, including UIs, orchestration, agent/prompt design, backend systems, and cloud infrastructure, with a focus on shipping features that influence how developers work. | Agent | 8 |
| Agentic Risk Analyst This role focuses on analyzing and mitigating risks associated with agentic AI systems, ensuring safe and responsible deployment across OpenAI's products. The analyst will build a portfolio of agentic risks, assess emerging threats, and collaborate with various teams to implement mitigation strategies. | Agent | 8 |
| AI Tooling & Enablement Manager This role focuses on identifying and building AI-native products and workflows for OpenAI's marketing organization. The manager will work with marketing teams to leverage AI for improved quality, speed, and effectiveness, by designing and deploying workflows that combine agents, tools, and human review. The role involves prototyping, shipping automation, building reusable systems, and providing training and documentation to enable safe and effective AI adoption. | Agent | 8 |
| Software Engineer, Cloud Agents Software Engineer to build and scale a cloud agent platform, focusing on orchestration, sandboxing, secure connectivity, and tool usage for long-running agents. The role involves designing and operating systems for agent orchestration at scale, partnering with product engineers to enable rapid product shipping, and improving reliability, security, performance, and cost efficiency. | AgentServe | 8 |
| Staff / Senior Staff Backend Software Engineer, Workspace Agents Backend engineer to build and scale the systems behind Workspace Agents in ChatGPT, focusing on agent orchestration, enterprise context, tool integration, and reliability for organizational use. | Agent | 8 |
| AI Deployment Engineer, Startups AI Deployment Engineer focused on working with strategic startup customers to optimize their AI systems, translate insights into product improvements, and design evaluations. This role involves prototyping prompts, agents, and workflows, and synthesizing feedback for OpenAI's research and product teams. | AgentEval Gate | 8 |
| AI Deployment Engineer - Startups AI Deployment Engineer focused on working with strategic startup customers to optimize their use of OpenAI's technology, identify failure modes, and translate learnings into product improvements and better model behavior. The role involves prototyping prompts/agents, designing evaluations, and building repeatable tools to improve AI systems. | AgentEval Gate | 8 |
| AI Deployment Engineer - Startups AI Deployment Engineer focused on working with strategic startup customers to optimize their AI systems, identify failure modes, and translate learnings into reproducible evaluations and product improvements for OpenAI. This role involves prototyping prompts/agents, designing evaluations, and acting as a technical partner. | AgentEval Gate | 8 |
| Engineering Manager, Cooperative Systems Engineering Manager to lead a team building AI-powered automation systems for internal operations, focusing on autonomous reasoning and learning from humans. The role involves hands-on architecture, full-stack development, and rapid iteration with internal users and customers. | Agent | 8 |
| Abuse Investigator (AI Self-Improvement Risk) Investigate AI agentic and autonomous behavior risks, identify emerging patterns, and propose improvements to safeguards. Requires expertise in complex systems, multi-step behaviors, and ambiguous signals. | Agent | 8 |
| IC Agentic Engineering Manager - Stargate This role focuses on applying agent-based systems to infrastructure delivery and operations within OpenAI's Stargate Infrastructure team. The goal is to use AI-driven approaches for deployment orchestration, system bring-up, issue triage, debugging, and capacity management, rather than building general-purpose agent platforms. It's a player-coach role involving direct system design and implementation while leading a small team. | Agent | 8 |
| Engineering Manager, Distillation & Dectection Platform Engineering Manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models, focusing on model IP protection, distillation detection, and emerging risks from autonomous agents. The role involves setting technical roadmaps, building scalable production systems, and partnering with Research and Product to translate model capabilities into deployed mitigations. Requires strong software engineering fundamentals, experience in adversarial environments, and leadership skills. | AgentServe | 8 |
| Product Manager, Personalization Product Manager for OpenAI's Memory & Personalization team, focusing on building systems for ChatGPT to learn from user interactions over time, remembering context, preferences, goals, and workflows to deliver tailored experiences. The role involves defining how ChatGPT adapts to individual users, balancing innovation with safeguards for user control, privacy, and transparency. | Agent | 8 |
| Forward Deployed Engineer - Semiconductor Forward Deployed Engineer to lead end-to-end deployments of OpenAI's AI models within semiconductor and chip design organizations, focusing on integrating AI into chip design, verification, and tooling workflows to reduce design cycles and improve quality. This role involves designing and shipping production AI systems, leading customer engagements, delivering AI-powered verification workflows, building systems over large codebases, and defining evaluation loops. Success is measured by production adoption, cycle-time reduction, and engineer productivity gains. | AgentServe | 8 |
| Data Scientist, B2B Product-focused Data Scientist to shape AI-powered enterprise products like ChatGPT Enterprise and agentic automation systems. Focus on analyzing user interaction, informing product strategy, and building measurement frameworks for AI agents and automation workflows. | Agent | 8 |
| Software Engineer, Marketing Innovation Software Engineer role focused on building and owning autonomous, customer-facing agentic systems that drive revenue and pipeline for OpenAI's marketing and sales organizations. The role involves full-stack development, API integration, orchestration, and applying OpenAI models to create AI-native products and workflows. | Agent | 8 |
| Product Engineer, Marketing Innovation Product Engineer to build and own autonomous, customer-facing agentic systems that directly drive revenue and pipeline, interfacing with enterprise customers and revenue-critical workflows. The role involves full-stack development, applying OpenAI models in novel ways, and iterating based on live usage data. | Agent | 8 |
| Software Engineer, Codex Cloud Software Engineer role focused on building the cloud-based runtime and orchestration layer for the Codex AI agent, enabling it to securely and reliably execute tasks, interact with codebases, and operate at scale for enterprise customers. This involves designing and implementing core platform capabilities, including container orchestration, sandboxed environments, identity and governance systems, and observability, to support agentic experiences. | AgentServe | 8 |
| Software Engineer, Cooperative AI Software Engineer role focused on building AI-powered knowledge and automation systems using OpenAI's latest technologies. The role involves end-to-end development, collaboration with various teams, and iterating on applying models to internal use cases, with a focus on customer-facing systems like knowledge systems, automation systems, and automated agent systems. | Agent | 8 |
| Backend Software Engineer, Jobs Platform Backend Software Engineer to build core systems for search, matching, and recommendation for an AI-powered job platform. This role involves productionizing ML models, running experiments on ranking and recommendation strategies, and building scalable systems that support millions of users. Experience with vector databases, search indices, and ML concepts is required. | AgentServe | 8 |
| Forward Deployed Engineer - London This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, involving discovery, technical scoping, system design, build, and production rollout. The engineer will build full-stack systems, embed with customer teams, and contribute code when necessary, with success measured by production adoption, workflow impact, and feedback that influences product and model roadmaps. The role requires experience with LLMs or generative models and delivering complex systems in ambiguous environments. | Agent | 8 |
| Solutions Engineer- Startups Solutions Engineer role focused on helping startup customers build and scale Generative AI applications using OpenAI's API. This involves technical guidance, product feedback synthesis, and creating reusable resources for the startup ecosystem. | Agent | 8 |
| AI Deployment Engineer, Startups AI Deployment Engineer role focused on guiding strategic startup customers in building and scaling novel applications on OpenAI's API. The role involves technical thought partnership, prototyping, providing business impact guidance, and synthesizing feedback for internal teams. It requires strong software engineering and AI/LLM best practices knowledge, with an emphasis on end-to-end problem ownership and collaboration within the startup ecosystem. | Agent | 8 |
| Partner AI Deployment Engineer This role focuses on enabling systems integrators and their enterprise customers to deploy and scale Generative AI applications using OpenAI's models. The Partner AI Deployment Engineer acts as a technical lead and trusted advisor, helping partners identify use cases, build prototypes, provide strategic guidance, and ensure successful production deployments. The role involves close collaboration with internal teams (Sales, Solutions Engineering, Applied Research, Product) and external stakeholders (SI partners, customer executives) to drive tangible business value through AI adoption. | Agent | 8 |
| Security Engineer, Agent Security Security Engineer focused on securing agentic AI systems by designing and implementing security controls, policies, and tooling. The role involves threat modeling, collaborating with infrastructure and safety teams, and influencing security strategy for AI agents. | Agent | 8 |
| Software Engineer, AI Safety Software Engineer focused on building and maintaining anti-abuse and content moderation infrastructure to ensure the safety, robustness, and reliability of AI models and their deployment. The role involves utilizing AI techniques to monitor and improve model alignment, diagnosing and remediating incidents, and developing tooling to address system failures. Experience with production services, debugging live issues, and understanding AI capabilities vs. risks is desired. | Agent | 8 |
| Full Stack Software Engineer, Agent Enablement Full Stack Software Engineer to design and grow an open ecosystem of agent-enabled sites and services. Responsibilities include building user and agent identity protocols, user experiences for controlling and observing agents, and evolving token consumption. The role requires strong full-stack skills, experience shipping customer-facing products, comfort with ambiguity, and collaboration with research, design, and data science teams. | Agent | 7 |