1 day ago
Base Salary
$251k - $278k/yr
Responsibilities
- Design, build, evaluate, and deploy AI systems from prototype through reliable production and scaled adoption.
- Partner with enterprise customers to define technical architectures, implementation plans, evaluation strategies, and success criteria.
- Make technical decisions involving model selection, agents, tools, retrieval, context, data pipelines, evaluation, reliability, observability, latency, cost, safety, security, and governance.
- Diagnose implementation challenges, reproduce failures, test hypotheses, and resolve technical blockers.
- Collaborate with customer engineering, security, privacy, clinical, and business teams on responsible AI deployments.
- Create reusable architectures, tooling, playbooks, and technical guidance for future enterprise deployments.
- Translate deployment experience into product feedback for OpenAI Product, Research, Engineering, Security, and Go-to-Market teams.
Requirements
- Experience designing, building, and shipping AI or machine-learning systems in enterprise environments from prototype to production.
- High proficiency in Python and comfort working across model APIs, agent and tool development, retrieval, data pipelines, evaluation, observability, integrations, and production operations.
- Experience systematically evaluating AI systems with representative data, automated graders, production signals, and human judgment.
- Experience with enterprise production requirements including integrations, reliability, observability, security, privacy, data governance, performance, and cost.
- Experience delivering AI or software in healthcare, life sciences, or similarly complex regulated enterprises.
- Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes.
- Clear communication with engineers, technical leaders, security and product teams, and executives.
- Strong technical judgment, end-to-end ownership, adaptability, and collaborative working style.
- Experience with JavaScript, TypeScript, or another relevant language is valuable.
- Healthcare or life sciences experience is strongly preferred; candidates from other regulated enterprise environments are encouraged to apply.
Benefits
- The role may be based in New York City or San Francisco, or performed remotely.
- Office-based employees follow a hybrid schedule of three days per week in the office.
- Relocation assistance is available to new employees.
Tech Stack
Categories
Forward Deployed
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.