Software Engineer, Enterprise AI Platform

OpenAI; San Francisco (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

OpenAI is looking for an Enterprise Applied AI Engineer to build internal applications for enterprise operations. This role focuses on creating multi-agent workflows and enhancing data architecture within Finance, People, and GTM sectors.

The ideal candidate will have excellent skills in Python, system design, and enterprise integrations, contributing to reliable internal products and shared platform components. Join OpenAI's mission to push AI boundaries while ensuring its safe use.

Qualifications

• Strong Python engineering skills for backend services and enterprise integrations.
• Experience with data architecture for operational AI systems.
• Ability to design end-to-end workflows and create reusable infrastructure.

Responsibilities

• Build internal apps for enterprise operations across Finance, People, and GTM.
• Design multi-agent workflows including tool routing and approvals.
• Create evaluative metrics and monitoring for internal apps.

Skills

Python engineering

System design

Enterprise integrations

Data architecture

Applied AI systems

Job description

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 legally protected characteristics.