OpenAI· Finance· San Francisco
Software Engineer, Enterprise AI Platform
Comp$230K – $385K
Classified Tasks (32)
Automate 0%Augment 88%Human-Only 13%
Augment (28)
AI assists, human decides
Build internal apps for enterprise operations across Finance, People, and GTM
technical
Build shared platform components that internal apps run on
technical
Build MCP connectors for integrations
technical
Implement enterprise integrations with strong authentication mechanisms
technical
Implement fine-grained permissions in integrations
technical
Ensure idempotency in connectors and integrations
technical
Implement retry mechanisms for integrations
technical
Handle rate-limiting in connectors and integrations
technical
Design end-to-end multi-agent workflows
technical
Implement tool routing within multi-agent workflows
technical
Implement human approval flows within workflows
technical
Implement audit trails for workflows
technical
Design data architecture for operational AI systems
technical
Design and implement data ingestion pipelines
technical
Define and maintain data schemas for operational systems
technical
Implement data quality checks
technical
Implement data lineage tracking
technical
Build evaluation harnesses (evals) for agentic workflows
technical
Build monitoring systems for agentic workflows
technical
Define and collect metrics for agentic workflows
analytical
Build regression tests for agentic workflows
technical
Create reusable infrastructure that other enterprise teams can build on
technical
Create reusable patterns for enterprise applications
technical
Create reusable components for enterprise platforms
technical
Build internal systems for company operations
technical
Build data foundations for enterprise use
technical
Build workflow infrastructure for enterprise platforms
technical
Build enterprise platforms and integration points
technical
Human-Only (4)
Requires human judgment
Define and enforce safe action boundaries for agents
operational
Implement data governance processes
operational
Partner with system owners and business owners to convert messy enterprise workflows into reliable internal products
leadership
Turn ambiguous business workflows into reliable internal products and shared infrastructure
leadership
Job description
Software Engineer, Enterprise AI Platform | OpenAI Careers ## Software Engineer, Enterprise AI Platform Finance - San Francisco Apply now(opens in a new window) **About the Team** Business Systems / Enterprise Platform Technology builds the internal systems, data foundations, workflow infrastructure, and enterprise platforms that help OpenAI 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. **About the Role** 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 GTM • Build MCP connectors and enterprise integrations with strong auth, permissions, idempotency, retries, and rate-limit handling • Design end-to-end multi-agent workflows with tool routing, human approvals, audit trails, and safe action boundaries • Design data architecture for operational AI systems, including ingestion, schemas, quality checks, lineage, and governance • Build evals, monitoring, metrics, and regression tests for agentic workflows • Create reusable infrastructure, patterns, and components that other enterprise teams can build on • Partner with system owners and business owners to turn messy enterprise workflows into reliable internal products **You 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 jobs • Have strong system design skills across shared infrastructure, app architecture, reliability, and scaling • Have experience building internal apps, backend services, APIs, workflow systems, or integration platforms • Understand enterprise systems, including controls, approvals, auditability, compliance, and permissions • Have practical AI systems experience with RAG, evals, monitoring, MCP/tool use, structured outputs, or multi-agent workflows • Have strong data architecture fundamentals, including ingestion, modeling, quality, lineage, and governance • Communicate clearly with technical stakeholders, system owners, and business owners • Take high ownership in ambiguous, cross-functional environments **About OpenAI** OpenAI 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. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinan