Назад
4 часа назад

Applied AI Architect (AI)

Формат работы
hybrid
Тип работы
fulltime
Страна
Singapore
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Описание вакансии

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

Applied AI Architect

Company

OpenAI

Conditions

6 days ago

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

  • Relocation assistance for new employees

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