8 days ago
Base Salary
$251k - $278k/yr
Responsibilities
- Embed with technical platform customers as a thought partner for developing novel applications on the API.
- Build prototypes, pilots, and model evaluations to test product ideas and guide architecture and roadmap decisions.
- Lead applications through use-case selection, architecture, prototyping, evaluation, production launch, adoption, and scale.
- Write and debug code, resolve complex integrations, and advise on reliability, latency, cost, safety, security, governance, and operational readiness.
- Collaborate with Product and Research teams to validate frontier AI capabilities and provide feedback for the product roadmap.
- Provide customer guidance, lead workshops and implementation sessions, and help resolve technical challenges.
- Share knowledge and publish best practices to scale the Applied AI Engineer function.
Requirements
- 8+ years of deep, hands-on technical experience with a willingness to work closely with customers.
- Track record of personally leading complex, production-scale AI/ML systems from ambiguous discovery through deployment, adoption, and measurable business impact.
- Proficiency in Python, JavaScript, TypeScript, or similar programming languages.
- Experience building production-quality prototypes and reference implementations.
- Strong technical judgment and the ability to make clear recommendations with incomplete information.
- Knowledge of agent architecture patterns, advanced prompt and context engineering, evaluation frameworks, safety, and security.
- Ability to manage multiple projects, prioritize effectively, navigate ambiguity, and work with empathy and technical leadership.
Benefits
- Hybrid work model requiring three days per week in the NYC office.
- Relocation assistance for new employees.
- Occasional travel for customer workshops and implementation sessions.
Tech Stack
Categories
Solutions Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.