OpenAI

2 weeks ago

AI Deployment Engineer, Enterprise

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Partner with enterprise customers to design, build, and deploy AI systems that deliver measurable business outcomes. Combine deep technical judgment and hands-on engineering to take ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scaling. Build evaluation harnesses and reference implementations, diagnose complex integration issues, and make decisions across model behavior, reliability, latency, cost, safety, security, governance, and operational readiness, translating deployment learnings into product feedback.

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and success criteria.
•Design, build, and deploy AI systems that solve customer problems and produce measurable business outcomes.
•Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
•Make technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, governance, and operational readiness.
•Diagnose complex implementation challenges and drive blockers toward resolution to move prototypes into reliable, sustained production systems.

Pay and Benefits

Salary: USD 197,000 - 278,000 annually

Equity and Bonus:Equity

Perks:Relocation

Key Requirements

•Demonstrated track record designing, building, and delivering AI or machine-learning systems in enterprise environments from prototype to production.
•Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering (not only stakeholder management).
•Highly proficient in Python and comfortable across an AI application stack; JavaScript or TypeScript experience is valuable.
•Understand systematic evaluation of AI systems using representative data, graders, production signals, and human judgment.
•Navigate enterprise production requirements including integrations, reliability, observability, security, privacy, data governance, performance, and cost.

Experience:Enterprise AIMachine learningProduction deployments

Skills:Technical judgmentCommunicationProblem-solvingCollaborationEnd-to-end ownership

Tech Stack:PythonJavaScriptTypeScript

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

2 weeks ago

AI Deployment Engineer, Enterprise

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and success criteria.
•Design, build, and deploy AI systems that solve customer problems and produce measurable business outcomes.
•Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
•Make technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, governance, and operational readiness.
•Diagnose complex implementation challenges and drive blockers toward resolution to move prototypes into reliable, sustained production systems.

Pay and Benefits

Salary: USD 197,000 - 278,000 annually

Equity and Bonus:Equity

Perks:Relocation

Key Requirements

•Demonstrated track record designing, building, and delivering AI or machine-learning systems in enterprise environments from prototype to production.
•Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering (not only stakeholder management).
•Highly proficient in Python and comfortable across an AI application stack; JavaScript or TypeScript experience is valuable.
•Understand systematic evaluation of AI systems using representative data, graders, production signals, and human judgment.
•Navigate enterprise production requirements including integrations, reliability, observability, security, privacy, data governance, performance, and cost.

Experience:Enterprise AIMachine learningProduction deployments

Skills:Technical judgmentCommunicationProblem-solvingCollaborationEnd-to-end ownership

Tech Stack:PythonJavaScriptTypeScript

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor