Description
AI Deployment Engineer
Location
Seattle
Employment Type
Full time
Department
Compensation
- Zone A$197K – $278K • Offers Equity
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
Benefits
- 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.
About the team
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.
About the role
We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realize tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.
Responsibilities
- 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
- Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
- Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.
- Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.
- Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are 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.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass