Enterprise Applied AI EngineerBusiness Systems / Enterprise Platform Technology builds the internal systems, data foundations, workflow infrastructure, and enterprise platforms that help operate at scale. The EPT AI Pod builds AI-native internal apps, MCP connectors, multi-agent workflows, and reusable platform capabilities across Finance, People, and GTM.As an Enterprise Applied AI Engineer, you will build internal apps for enterprise operations and the shared platform components those apps run on. This includes MCP connectors, multi-agent orchestration, data architecture, evals, monitoring, auditability, and governance.We're looking for a hands-on engineer who is strong in Python, system design, enterprise integrations, data architecture, and applied AI systems.
You should be excited to turn ambiguous business workflows into reliable internal products and shared infrastructure. In this role, you will:Build internal apps for enterprise operations across Finance, People, and GTMBuild MCP connectors and enterprise integrations with strong auth, permissions, idempotency, retries, and rate-limit handlingDesign end-to-end multi-agent workflows with tool routing, human approvals, audit trails, and safe action boundariesDesign data architecture for operational AI systems, including ingestion, schemas, quality checks, lineage, and governanceBuild evals, monitoring, metrics, and regression tests for agentic workflowsCreate reusable infrastructure, patterns, and components that other enterprise teams can build onPartner with system owners and business owners to turn messy enterprise workflows into reliable internal productsYou might thrive in this role if you:Have strong Python engineering skills for backend services, MCP connectors, agent/tool workflows, eval harnesses, and data ingestion jobsHave strong system design skills across shared infrastructure, app architecture, reliability, and scalingHave experience building internal apps, backend services, APIs, workflow systems, or integration platformsUnderstand enterprise systems, including controls, approvals, auditability, compliance, and permissionsHave practical AI systems experience with RAG, evals, monitoring, MCP/tool use, structured outputs, or multi-agent workflowsHave strong data architecture fundamentals, including ingestion, modeling, quality, lineage, and governanceCommunicate clearly with technical stakeholders, system owners, and business ownersTake high ownership in ambiguous, cross-functional environmentsOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.
AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.