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 |
|---|---|---|
| Technical Deployment Lead, Semiconductors This role focuses on deploying AI systems to semiconductor customers, owning the end-to-end delivery process from scoping to adoption. The Technical Deployment Lead will translate customer needs into technical plans, manage execution across teams, and ensure deployments deliver measurable value and become critical to customer workflows. The role requires deep expertise in semiconductor workflows and experience shipping AI/LLM systems. | Ship | 8 |
| Technical Deployment Lead - Sydney Founding role in Sydney for a Technical Deployment Lead (TDL) on the Forward Deployed Engineering team. The TDL will define how OpenAI delivers complex AI systems to customers, owning their build, shipment, and adoption. This involves translating business outcomes into technical plans, managing day-to-day execution across FDEs, Researchers, and Customer Engineers, and partnering with customer teams to ensure delivery supports their goals. The role requires deep technical project management expertise, ownership of outcomes, and the ability to immerse in customer workflows to solve complex engineering problems at pace. Success is measured by customer impact, adoption, delivery reliability, and operating leverage. |
| Ship |
| 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 |
| AI Deployment Engineering Manager, Digital Natives Manage a team of AI Deployment Engineers focused on ensuring the safe and effective deployment of Generative AI applications for technology and software companies, driving them to production and increasing API adoption. | Ship | 8 |
| Robotics Software Engineer Robotics Software Engineer to expand data collection and evaluation program, integrating hardware and software for robotic systems. Involves designing, implementing, and optimizing software, developing control interfaces, and creating automation tools for policy evaluation. | Ship | 8 |
| Partner AI Deployment Engineer - AWS This role focuses on enabling the deployment and scaling of OpenAI's Generative AI applications through a strategic partnership with AWS. The engineer will act as a senior technical advisor to AWS field leadership, guiding customers from ideation to production, and enabling AWS partners to independently drive deployments. Responsibilities include shaping strategy, designing end-to-end AI architectures, building prototypes, establishing best practices, and enabling the AWS ecosystem through workshops and reusable assets. The role requires strong technical leadership, strategic influence, and the ability to build repeatable systems for scaled adoption. | ShipAgent | 8 |
| Software Engineer, ML Systems & Training Architecture Software Engineer focused on ML Systems & Training Infrastructure for the OpenAI Robotics team, responsible for maintaining and improving the training framework, debugging ML systems, and unblocking researchers and engineers. | Data | 8 |
| Manager, AI Deployment Engineering - Codex Manager for AI Deployment Engineering focused on the Codex product, responsible for leading a team that helps customers integrate and scale AI coding tools into their software development lifecycle. The role involves technical leadership, customer engagement strategy, and partnering with internal teams to ensure successful production adoption and establish best practices. | Ship | 8 |
| AI Deployment Engineering Manager, Startups Lead and scale the Startups AI Deployment Engineering team to help high-growth startups move from experimentation to production with OpenAI's technologies. This role involves team leadership, technical depth, customer prioritization, and cross-functional influence, focusing on defining how OpenAI supports startup customers at scale. | Ship | 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 |
| Strategic Partnerships Lead, Education Research Scientist focused on building scientific and evaluation infrastructure to understand how AI systems affect learning, cognition, and capability development over time. The role involves designing rigorous studies, developing scalable evaluation methods, and measuring cognitive outcomes beyond engagement. It sits at the intersection of learning science, cognitive science, experimental design, LLM evaluation, and applied product research, with an initial focus on young users and education settings. This is an applied, empirical role focused on building evidence systems that are scientifically credible, operationally useful, and influential in model and product development. | Eval GatePost-train | 8 |
| Technical Deployment Lead, Life Sciences This role focuses on deploying complex AI systems, specifically for the Life Sciences vertical (pharmaceuticals, CROs), to customers. The Technical Deployment Lead will own the end-to-end delivery process, from defining technical plans and managing execution with internal teams (FDEs, Researchers) and customer teams, to ensuring adoption and measuring impact. The role requires translating business outcomes into technical plans, managing dependencies, and driving prototypes through MVP and scale, with a strong emphasis on customer value and adoption. | Ship | 8 |
| Technical Deployment Lead - Singapore OpenAI is seeking a founding Technical Deployment Lead in Singapore to define and own the delivery of complex AI systems to customers. This role involves translating business outcomes into technical plans, managing day-to-day execution across engineering and customer teams, and ensuring successful adoption and measurable value delivery. The TDL will partner with Product and Research to guide the roadmap based on field insights and codify reusable patterns and evaluations. | Ship | 8 |
| Software Engineer, Post-Training Research Software Engineer focused on post-training research, building tooling and evaluation systems for researchers to prepare models for deployment in products like ChatGPT and the API. The role involves rapid prototyping, refactoring codebases, and designing experiment systems. | Post-train | 8 |
| AI Deployment Engineer- Codex AI Deployment Engineer for OpenAI's Codex, focusing on customer adoption of coding tools, designing and implementing AI-enhanced development workflows, building demos and integrations, and providing technical enablement and content. | Ship | 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 |
| SOC Architect Seeking an experienced SoC Architect to define and develop next-generation custom AI silicon for edge deployments, focusing on efficient, high-performance SoCs for ML inference. The role involves cross-functional collaboration with internal teams and external partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery. | Serve | 8 |
| Forward Deployed Engineer - Singapore This role focuses on leading end-to-end deployments of frontier AI models in production for strategic customers, building full-stack systems, and driving adoption. It involves technical scoping, system design, build, and production rollout, with a strong emphasis on customer collaboration and measurable impact. | ShipAgent | 8 |
| Performance Modeling Lead Lead a team to build and own a performance modeling framework for AI infrastructure systems, analyzing tradeoffs across compute, memory, networking, and storage to guide architectural decisions and influence vendor roadmaps. Requires deep knowledge of AI/ML workloads (training/inference) and large-scale distributed systems. | Serve | 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, Bio Safety Product Manager focused on biosecurity risk for OpenAI's frontier models. The role involves driving initiatives to ensure safe and impactful deployments, developing safety-focused product roadmaps, and collaborating with cross-functional teams. Key responsibilities include creating scalable evaluation and improvement systems, integrating AI safety research, and defining metrics for safety performance. | Eval Gate | 8 |
| Data Scientist, Safety Systems The Data Scientist, Safety Systems role focuses on establishing a data-driven approach to understand, evaluate, and monitor the safety of production AI systems. This involves defining and implementing metrics, creating dashboards, and collaborating with researchers and engineers to ensure safe AI deployment. The role emphasizes leadership in quantitative analysis and metric operationalization within a safety-focused team. | Eval GateData | 8 |
| Technical Deployment Lead, Forward Deployed Engineering (FDE) - NYC OpenAI's Forward Deployed Engineering (FDE) team is seeking a Technical Deployment Lead (TDL) to own the delivery of complex AI systems to customers. This role involves defining delivery plans, managing day-to-day execution, embedding with customers to ensure adoption, and translating field insights back to Product and Research. Success is measured by customer impact, adoption, and delivery reliability. The role requires strong technical project management, customer-facing experience, and a track record of shipping AI/LLM systems. | Ship | 8 |
| Training, Process Management Engineer OpenAI's Training Runtime team is seeking a Process Management Engineer to build and maintain the distributed OS responsible for launching, coordinating, and supervising large-scale machine learning training workloads. This role involves working with Rust and Python to create high-performance, reliable, and observable systems that enable researchers to scale ideas from experiments to production training runs on massive clusters. | Data | 8 |
| Data Scientist, Integrity Measurement This role focuses on developing and implementing AI-first methods for measuring and monitoring complex harms on OpenAI's platforms. The Data Scientist will own measurement and metrics for severe usage harms, build productionised safety metrics, optimize LLM prompts for measurement, and leverage agentic products for automation. The role is crucial for ensuring the integrity and security of OpenAI's scaling technology. | Eval GateData | 8 |
| Technical Deployment Lead, Forward Deployed Engineering (FDE) - SF OpenAI's Forward Deployed Engineering (FDE) team seeks a Technical Deployment Lead to manage the delivery of complex AI systems to customers. This role involves defining delivery plans, overseeing execution, embedding with customer teams, and ensuring adoption. Success is measured by customer impact, delivery reliability, and the ability to extract reusable patterns. The role requires strong technical project management, customer-facing experience, and a track record of shipping AI/LLM systems. | Ship | 8 |
| Data Scientist, Preparedness Data Scientist role focused on evaluating, improving, and building mitigation systems to prevent extreme harms from AI. This involves deep error analysis, root cause investigation, building monitoring frameworks, and identifying trends in blocking effectiveness to influence product and policy changes. The role requires strong analytical skills, SQL/Python proficiency, and experience in high-stakes domains like security or trust & safety. | Eval Gate | 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 |
| Technical Program Manager – Adversarial Model Research This role focuses on testing the safety and robustness of AI models through evaluations, red-teaming, and identifying failure modes. It involves leading programs to understand model behaviors, translating risks into research plans, and collaborating with research and engineering teams to integrate findings into model development and deployment cycles. The goal is to strengthen model reliability and public trust. | Eval GatePost-train | 8 |
| Software Engineer, Platform Systems Software Engineer on the Platform Systems team at OpenAI, responsible for designing and building distributed systems for failure detection, tracing, and observability to support large-scale AI model training. The role focuses on improving the reliability, performance, and visibility of OpenAI's training infrastructure. | Data | 8 |
| Software Engineer, Research - Human Data Software Engineer, Research - Human Data role at OpenAI. Focuses on building and maintaining full-stack systems for feedback collection, data labeling, and evaluation pipelines to train and improve AI models. Partners with researchers to translate alignment research into scalable production infrastructure, including inference and model training stacks. Designs user-facing tools and backend services for high-quality data workflows, driving infrastructure improvements for OpenAI's frontier models. | DataPost-train | 8 |
| AI Deployment Engineer- Codex AI Deployment Engineer focused on helping customers adopt OpenAI's coding tools (Codex) by guiding them in integrating Codex into their projects and workflows, designing and validating advanced AI workflows, and building demos and integrations. This role involves technical architecture, product strategy, and customer-facing leadership, working closely with various internal teams and customers to accelerate the deployment of intelligent coding systems. | Ship | 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, Codex Ecosystem & Enterprise Software Engineer focused on building the ecosystem, enterprise capabilities, and platform primitives for Codex, an AI software engineer. This role involves turning Codex into a production-grade teammate for organizations, enabling its deployment, operation, and trust in demanding real-world environments. Responsibilities include developing plugins, skills, discovery surfaces, RBAC, admin/audit features, usage controls, and analytics, as well as designing secure, observable full-stack systems integrated with enterprise identity and governance solutions. The role requires leading customer deployments and iterating based on live usage signals. | ShipAgent | 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 (Evals) Backend Software Engineer to design and build an evals infrastructure for measuring the quality of OpenAI's support automation. The role involves building robust systems and backend services, integrating data, and collaborating with data science and research partners. Experience with AI agents, LLM evaluation methods, and distributed systems is required. | Eval Gate | 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 |
| Forward Deployed Engineer - Tokyo OpenAI's Forward Deployed Engineer role focuses on partnering with strategic customers to deploy frontier AI models into production systems. This role involves end-to-end ownership of discovery, technical scoping, system design, build, and rollout, with a strong emphasis on driving customer adoption and using evaluation feedback to influence product and model roadmaps. The position requires deep technical expertise in building full-stack systems, understanding LLM behavior, and contributing code, while also acting as a liaison between customer teams and OpenAI's internal Research and Product groups. Fluency in both Japanese and English is a mandatory requirement. | ShipAgent | 8 |
| Forward Deployed Engineer, Gov This role focuses on leading complex deployments of OpenAI's frontier AI models for government and public sector customers. The Forward Deployed Engineer (FDE) will embed with clients to understand their problems, structure and build full-stack solutions, and ensure successful, compliant, and reliable deployments of AI tools like ChatGPT Enterprise and ChatGPT Gov. The role involves technical thought partnership, driving adoption, maximizing mission impact, and contributing to product roadmap through field feedback. It requires strong engineering skills, experience with LLM deployments, and the ability to manage customer relationships and technical delivery in high-stakes environments. | ShipServe | 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 |
| Lead Safety Engineer, Robotics Lead Safety Engineer for OpenAI's Robotics team, focusing on defining and leading the product safety strategy for robotic systems. This role involves integrating safety across the entire development lifecycle, from early development through deployment, by working with leadership, engineering, research, legal, and policy teams. Responsibilities include shaping safety thinking, influencing product architecture, ensuring compliance with current and emerging regulatory expectations, and establishing long-term safety strategy. The role requires expertise in product safety, regulatory strategy, systems engineering, and risk management, with a focus on translating safety requirements into product architecture and engineering requirements, developing hazard analyses, risk assessments, and safety cases. | Ship | 7 |
| Engineering Manager, Sensitive Deployments Engineering Manager for OpenAI's Integrity team, focusing on sensitive deployments of AI in high-stakes environments like government and regulated enterprises. The role involves leading a team of engineers to ensure safe and beneficial deployment of AI technologies, translating field learnings into reusable capabilities, and managing end-to-end delivery outcomes. | Ship | 7 |