Enterprise AI Engineer - Internal Apps & Orchestration

Rozgoo; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

OpenAI is seeking an Enterprise Applied AI Engineer to build internal apps for enterprise operations and the shared platform components they run on, including MCP connectors, multi-agent orchestration, and data architecture.

You will turn ambiguous business workflows into reliable internal products, design end-to-end workflows with auditing and governance, and partner with system and business owners to scale platform capabilities across Finance, People, and GTM.

Qualifications

• Strong Python engineering skills for backend services, MCP connectors, agent/tool workflows, eval harnesses, and data ingestion jobs.
• Experience with enterprise integrations and data architecture to support scalable internal platforms.
• Ability to design, implement, and govern multi-agent workflows and evaluation harnesses.

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.

Skills

Python engineering

Backend services

Enterprise integrations

Data architecture

Multi-agent workflows

Eval harnesses

Tools

MCP connectors

APIs

Data ingestion

Job description

OpenAI is seeking an Enterprise Applied AI Engineer to build internal apps for enterprise operations and the shared platform components they run on, including MCP connectors, multi-agent orchestration, and data architecture.

You will turn ambiguous business workflows into reliable internal products, design end-to-end workflows with auditing and governance, and partner with system and business owners to scale platform capabilities across Finance, People, and GTM.