Enterprise AI Engineer: Build Internal Apps & Workflows

Neura Market; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

OpenAI in San Francisco is seeking an Enterprise Applied AI Engineer to build internal apps for enterprise operations and the shared platform components those apps run on. You will craft MCP connectors, multi-agent workflows, data architectures, evals and monitoring, with a focus on reliability and governance.

You will translate ambiguous business workflows into scalable internal products and reusable infrastructure, collaborating with system and business owners to ensure compliance and secure,

Qualifications

• Hands-on engineer with strong Python and backend services.
• Experience with enterprise integrations and data architecture.
• Ability to design end-to-end multi-agent workflows.
• Familiarity with governance, auditability, and security.

Responsibilities

• Build internal apps for enterprise operations across Finance, People, and GTM.
• Design end-to-end multi-agent workflows with tool routing, human approvals, audit trails, and safe action boundaries.
• Create reusable infrastructure, patterns, and components for other teams.
• Partner with system owners and business owners to turn messy enterprise workflows into reliable internal products.

Skills

Python engineering

System design

Enterprise integrations

Data architecture

Applied AI

Agent workflows

Eval harnesses

Backend services

Communication with stakeholders

Tools

MCP connectors

APIs

Job description

OpenAI in San Francisco is seeking an Enterprise Applied AI Engineer to build internal apps for enterprise operations and the shared platform components those apps run on. You will craft MCP connectors, multi-agent workflows, data architectures, evals and monitoring, with a focus on reliability and governance.

You will translate ambiguous business workflows into scalable internal products and reusable infrastructure, collaborating with system and business owners to ensure compliance and secure,