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14 часов назад

Principal AI Architect (Google Cloud)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Principal AI Architect (Google Cloud): Leading AI strategy, enterprise architecture, and client transformation programs across Generative AI, Vertex AI, analytics, and cloud modernization with an accent on technical pre-sales, GCP solution design, and responsible AI. Focus on translating enterprise needs into production-ready AI architectures, building rapid prototypes, guiding Gemini and LLM adoption, and integrating AI agents into software delivery workflows.

Location: London, United Kingdom

Company

hirify.global delivers technology consulting and software engineering services, including Google Cloud, AI, analytics, and digital transformation solutions.

What you will do

  • Lead AI strategy and innovation initiatives within the Google Cloud partnership.
  • Act as the primary AI architect and technical advisor for enterprise clients.
  • Lead technical pre-sales engagements, workshops, transformation roadmaps, reference architectures, estimations, and RFP/RFI responses.
  • Design and deliver AI, data, analytics, and cloud modernization solutions using Google Cloud technologies.
  • Guide Gemini Enterprise and LLM adoption, AI-enabled operating models, and AI-agent integration into software delivery workflows.
  • Mentor AI delivery teams and contribute to go-to-market strategies, training, certifications, and capability development.

Requirements

  • 7+ years of experience in AI solution architecture, cloud transformation, or technical leadership.
  • Proven expertise in enterprise AI/ML architectures, technical pre-sales, opportunity qualification, solution pitching, and effort estimation.
  • Experience developing AI and data strategies on Google Cloud, including GCP, Gemini Enterprise Agent Platform, BigQuery, Spanner, Knowledge Graphs, semantic layers, Dataflow, Apache Beam, or Databricks.
  • Experience taking AI initiatives from pre-sales ideation through production implementation and working with data scientists, ML engineers, and software development teams.
  • Hands-on prototyping experience using vibe coding, AI Studio, Antigravity, ADK, or related tools.
  • Strong communication, executive stakeholder management, leadership, ethical AI, data privacy, compliance, and AI governance skills; GCP certification or readiness to obtain it quickly.

Nice to have

  • Experience with AWS, Azure, Databricks, or Snowflake.
  • Exposure to AI-augmented or agent-orchestrated software delivery and AI-native SDLC models.
  • Advanced degree in Computer Science, AI, Data Science, or a related field.

Culture & Benefits

  • Work on global projects in a supportive, flexible, and innovative technology environment.
  • Vacation according to the laws of the country of employment.
  • Health insurance support for the employee and dependents.
  • 10 days of sick pay without a doctor's note, followed by the applicable country laws.
  • Paid time off for official state holidays, corporate events, comfort services, certification support, and access to learning platforms.

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