# Software Engineer, Enterprise AI Platform

**Company**: OpenAI
**Location**: San Francisco
**Work arrangement**: onsite
**Experience**: mid
**Job type**: Full time
**Salary**: $230K – $385K
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/a6363571-e090-43a7-b758-ee3386a096c1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_da4fe05e-d58

## Description

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.

Key responsibilities include:

- Building internal apps for enterprise operations across Finance, People, and GTM

- Building MCP connectors and enterprise integrations with strong auth, permissions, idempotency, retries, and rate-limit handling

- Designing end-to-end multi-agent workflows with tool routing, human approvals, audit trails, and safe action boundaries

- Designing data architecture for operational AI systems, including ingestion, schemas, quality checks, lineage, and governance

- Building evals, monitoring, metrics, and regression tests for agentic workflows

- Creating reusable infrastructure, patterns, and components that other enterprise teams can build on

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

## Skills

### Required
- Python
- System design
- Enterprise integrations
- Data architecture
- Applied AI systems

### Nice to have
- MCP connectors
- Multi-agent orchestration
- Evals
- Monitoring
- Auditability
- Governance

---

Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/a6363571-e090-43a7-b758-ee3386a096c1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)