AI Deployment Engineer Job at OpenAI (New York City)

AI Deployment Engineer

OpenAI

Location:
United States , New York City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

197000.00 - 278000.00 USD / Year

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Job Description:

The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As an AI Deployment Engineer, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models.

Job Responsibility:

Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions
Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap
Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production
Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes
Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers
Share learnings and collaborate with internal teams to inform product development and improve customer outcomes
Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types

Requirements:

5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers
Strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike
Experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations
Hands-on proficiency in languages like Python, JavaScript, or similar, and comfortable building prototypes or proofs of concept
Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success
Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike
Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact

What we offer:

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided
Offers Equity
Performance-related bonus(es) for eligible employees

Additional Information:

Job Posted:
February 21, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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