Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 3
Communication @ 3
API @ 3
Audit @ 3
Compliance @ 3
AI @ 3
RAG @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI's Business Systems / Enterprise Platform Technology (EPT) builds 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.
As an Enterprise Applied AI Engineer, you will build internal apps for enterprise operations and the shared platform components those apps run on, including MCP connectors, multi-agent orchestration, data architecture, evals, monitoring, auditability, and governance. This role emphasizes Python engineering, system design, enterprise integrations, data architecture, and applied AI systems to turn ambiguous business workflows into reliable internal products and shared infrastructure.
Responsibilities
- 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
Requirements
- Strong Python engineering skills for backend services, MCP connectors, agent/tool workflows, eval harnesses, and data ingestion jobs
- Strong system design skills across shared infrastructure, app architecture, reliability, and scaling
- Experience building internal apps, backend services, APIs, workflow systems, or integration platforms
- Understanding of enterprise systems, including controls, approvals, auditability, compliance, and permissions
- Practical AI systems experience with RAG, evals, monitoring, MCP/tool use, structured outputs, or multi-agent workflows
- Strong data architecture fundamentals, including ingestion, modeling, quality, lineage, and governance
- Clear communication with technical stakeholders, system owners, and business owners
- High ownership in ambiguous, cross-functional environments
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.
Benefits
- Base pay range listed and total compensation includes equity and performance-related bonus(es) for eligible employees
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts
- Pre-tax accounts (Health FSA, Dependent Care FSA, commuter expenses)
- 401(k) retirement plan with employer match
- Paid parental leave, paid medical and caregiver leave
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays and multiple coordinated company office closures
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend
- Daily meals in offices and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits (charitable donation matching, wellness stipends)
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. OpenAI is an equal opportunity employer and conducts background checks in accordance with applicable law. Reasonable accommodations for applicants with disabilities are available via the provided links in the original posting.