Enterprise AI Engineer: Deploy & Scale Production AI

OpenAI, Inc.

New York (NY)

Hybrid

USD 180,000 - 240,000

Full time

2 days ago
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Benefits offered by this job

Relocation assistance

Job summary

OpenAI, Inc. is seeking an Enterprise AIE to partner with leading organizations like universities, turning ambitious AI use cases into durable production systems with adoption at scale. You will code, debug, and guide decisions on model behavior, reliability, latency, cost, safety, and governance.

The role may be based in New York City, San Francisco, or remote, with a hybrid model for office days and relocation assistance for new employees.

Qualifications

  • Hands-on design, build, and deployment of AI systems in enterprise environments.
  • Translate customer needs into scalable architectures and implementation plans.
  • Evaluate model behavior, latency, cost, and reliability for production use.
  • Collaborate with product, security, engineering, and GTM teams to drive deployments.
  • Strong Python coding and production engineering skills required.

Responsibilities

  • Hands-on coding to design, build, evaluate, and deploy AI systems.
  • Partner with enterprise customers to define architectures and success criteria.
  • Make technical decisions across model selection, retrieval, data pipelines, and governance.
  • Diagnose deployment challenges, reproduce failures, and drive resolution.
  • Collaborate with customers’ engineering teams and OpenAI's cross-functional groups.
  • Create reusable architectures, tooling, playbooks, and guidance for future deployments.

Skills

Python
Distributed systems
Machine learning
Cloud architectures
Customer communications

Education

Bachelor's degree in CS or related field

Job description

OpenAI, Inc. is seeking an Enterprise AIE to partner with leading organizations like universities, turning ambitious AI use cases into durable production systems with adoption at scale. You will code, debug, and guide decisions on model behavior, reliability, latency, cost, safety, and governance.

The role may be based in New York City, San Francisco, or remote, with a hybrid model for office days and relocation assistance for new employees.

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