14 часов назад
Principal AI Architect (Google Cloud)
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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