Назад
8 часов назад

Applied AI Architect Large Enterprise

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Страна
UK
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Описание вакансии

TL;DR
Applied AI Architect Large Enterprise (AI/LLM): Owning technical strategy for large enterprise customers by designing AI architectures and adoption roadmaps from discovery and evaluation through deployment and measurable business impact, with an accent on enterprise integrations, security, privacy, governance, and evaluation. Focus on guiding customer prototypes and proofs of value, coordinating specialist teams, tracking production adoption, and translating field learnings into product feedback.

Applied AI Architect Large Enterprise

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 technical strategy for a portfolio of large enterprise customers, guiding them from discovery and evaluation through deployment, adoption, and measurable business impact. You will develop AI architectures and adoption roadmaps, lead customer evaluations, coordinate specialists, track technical outcomes, and turn field learnings into reusable practices and product feedback.

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

  • Relocation assistance

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