Назад
3 часа назад

Applied AI Architect Enterprise

221 000 - 276 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Страна
US
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Описание вакансии

TL;DR
Applied AI Architect Enterprise (AI/LLM): Developing enterprise AI architectures and adoption plans while guiding customers from discovery and evaluation through production deployment and measurable business impact with an accent on agentic applications, retrieval, data integration, security, and privacy. Focus on leading technical evaluations, coordinating specialist teams, and designing scalable solutions across models, applications, data, integrations, governance, and deployment.

Applied AI Architect Enterprise

Company

OpenAI

Conditions

6 days agoSalary: 221K - 276K

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own technical strategy for a portfolio of enterprise customers, guiding them from discovery and evaluation through deployment, adoption, and measurable business impact. You will develop AI architectures and adoption plans, lead customer evaluations, coordinate specialists, monitor account health, and share field insights to improve products and reusable practices.

Requirements

  • Customer-facing technical experience in solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success
  • Experience guiding enterprise organizations from evaluation through production adoption and measurable business impact
  • Software and cloud architecture knowledge, including API, distributed system, data integration, identity, security, and privacy
  • Knowledge of modern AI systems, frontier LLM, agentic application, model evaluation, retrieval, or enterprise AI workflow
  • Ability to prototype and work with API, SDK, Python, or JavaScript
  • Experience developing technical account plans and prioritizing complex customer portfolios
  • Relevant industry expertise or digital-native business fluency

Responsibilities

  • Serve as the primary technical advisor for customers and prospects
  • Own technical account plans, milestones, adoption priorities, and expansion opportunities
  • Lead discovery to identify, qualify, and prioritize business use cases
  • Develop AI architectures spanning models, applications, data, integrations, security, privacy, governance, evaluation, and deployment
  • Guide customers through evaluations, demonstrations, workshops, prototypes, and proofs of value
  • Maintain use-case portfolios with ownership, blockers, success measures, delivery needs, and adoption plans
  • Coordinate delivery, implementation, enablement, product, domain, and partner specialists
  • Track adoption, account health, production readiness, and customer impact
  • Share customer insights with Product, Engineering, and Research

Benefits

  • Medical, dental, and vision insurance
  • Employer contributions to Health Savings Accounts
  • Health FSA, Dependent Care FSA, and commuter pre-tax accounts
  • 401(k) retirement plan with employer match
  • Paid parental, medical, and caregiver leave
  • Flexible PTO or up to 15 days of annual PTO
  • Paid company holidays, office closures, and sick or safe time
  • Mental health and wellness support
  • Employer-paid life and disability coverage
  • Daily office meals and eligible meal delivery credits
  • Relocation support
  • Charitable donation matching and wellness stipends

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