Назад
10 часов назад

Applied AI Architect

157 000 - 276 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Страна
US
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Описание вакансии

TL;DR
Applied AI Architect (AI/LLM): Leading technical strategy and account planning for customer portfolios, designing AI architectures, and driving evaluations, prototypes, adoption, and production readiness with an accent on enterprise workflows, data integration, security, privacy, and model evaluation. Focus on prioritizing business-focused use cases, coordinating specialists, and translating customer insights into product and engineering improvements.

Applied AI Architect

Company

OpenAI

Conditions

6 days ago Salary: 157K - 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 the technical strategy and account plan for a portfolio of customers. You will lead discovery, prioritize use cases, design AI architectures, guide evaluations and prototypes, coordinate specialists, track adoption and production readiness, and share customer insights to improve products and practices.

Requirements

  • Customer-facing technical experience
  • Solutions architecture
  • Solutions engineering
  • Technical account leadership
  • AI deployment
  • Technical customer success
  • Enterprise production adoption
  • Software architecture
  • Cloud architecture
  • API
  • Distributed systems
  • Data integration
  • Identity
  • Security
  • Privacy
  • AI systems
  • LLM
  • Agentic application
  • Model evaluation
  • Retrieval
  • Enterprise AI workflow
  • SDK
  • Python
  • JavaScript
  • Technical account planning
  • Industry expertise
  • Digital-native business expertise

Responsibilities

  • Serve as the primary technical advisor for a portfolio of customers and prospects
  • Own technical account plans, milestones, adoption priorities, and expansion opportunities
  • Lead discovery to identify and prioritize business-focused AI use cases
  • Develop AI architectures covering models, applications, data, integration, security, privacy, governance, evaluation, and deployment
  • Guide technical evaluations, demonstrations, workshops, prototypes, and proofs of value
  • Maintain use-case portfolios, decision criteria, success measures, and adoption plans
  • Build trusted relationships with executive and technical customer stakeholders
  • Coordinate delivery, implementation, enablement, security, product, partner, and specialist support
  • Track adoption, usage, account health, production readiness, and customer impact
  • Share customer insights with Product, Engineering, and Research

Benefits

  • Equity
  • Medical, dental, and vision insurance
  • Health Savings Account contributions
  • Health FSA
  • Dependent Care FSA
  • Commuter expense account
  • 401(k) retirement plan with employer match
  • Paid parental leave
  • Paid medical and caregiver leave
  • Flexible paid time off
  • Paid company holidays
  • Paid office closures
  • Paid sick or safe time
  • Mental health and wellness support
  • Employer-paid life and disability coverage
  • Annual learning and development stipend
  • Daily office meals
  • Meal delivery credits
  • Relocation support
  • Charitable donation matching
  • Wellness stipends

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