Это чётко очерченная senior-роль с практической разработкой в ведущей AI-компании и заметным влиянием на production-системы в сложной регулируемой сфере.
Передовой ИИ
Понятная роль
Сложная отрасль
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer (Enterprise Healthcare Life Sciences) (AI/Healthcare): Building and deploying reliable AI systems for enterprise healthcare and life sciences workflows with an accent on model evaluation, integrations, security, privacy, governance, and production operations. Focus on designing responsible AI deployments, resolving complex implementation challenges, and scaling systems from prototypes to measurable business impact.
Location: San Francisco, New York City, or US Remote. Office-based employees follow a hybrid model with three days per week in the office. Relocation assistance is available to new employees.
Salary: $251K–$278K plus equity.
Company
OpenAI is an AI research and deployment company developing general-purpose AI systems with a focus on safe, beneficial real-world use.
What you will do
Design, build, evaluate, and deploy AI systems from prototypes through reliable production and scaled adoption.
Partner with enterprise customers to define high-value use cases, technical architectures, implementation plans, evaluation strategies, and success criteria.
Make technical decisions across model selection, agents and tools, retrieval, context design, data pipelines, evaluation, reliability, observability, latency, cost, safety, security, and governance.
Diagnose implementation challenges, reproduce failures, test hypotheses, and resolve deployment blockers.
Collaborate with customer engineering, security, privacy, clinical, and business teams as well as OpenAI Product, Research, Engineering, Security, and Go-to-Market teams.
Create reusable architectures, tooling, playbooks, and technical guidance for future enterprise deployments.
Requirements
Personally designed, built, and shipped AI or machine-learning systems in enterprise environments, contributing through coding, architecture, evaluation, debugging, or production engineering.
Highly proficient in Python and comfortable working end to end across model APIs, agent and tool development, retrieval, data pipelines, evaluation, observability, integrations, and production operations.
Systematically evaluate AI systems using 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, with measurable outcomes beyond a proof of concept.
Familiarity with sensitive data, legacy systems, and interoperability.
Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes.
Clear and credible communication with engineers, technical leaders, security and product teams, and executives.
End-to-end ownership, strong technical judgment, ability to work through ambiguity, rapid learning, constructive challenge, and humble collaboration.
Nice to have
Experience with JavaScript, TypeScript, or another relevant programming language.
Healthcare or life sciences experience is strongly preferred; experience in other regulated enterprise environments is also considered.
Prior OpenAI product experience is not required.
Culture & Benefits
Hybrid office work requires three days per week in the office for office-based employees; a remote option is available.
Relocation assistance is offered to new employees.
Equity is included in the compensation package.
Commitment to safe AI development, human needs, diverse perspectives, equal opportunity, and reasonable accommodations.
Hiring process
Background checks are administered in accordance with applicable law for US-based candidates.
Reasonable accommodation requests can be submitted through OpenAI's accommodation channel.
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