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AI Solution Architect Senior Manager (AI)

Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
AI Solution Architect Senior Manager (AI): Leading a team of architects to design and govern AI-powered customer experience solutions with an accent on enterprise-scale cloud architecture and LLM integration. Focus on bridging business objectives with technical execution, driving AI adoption, and mentoring high-performing architecture teams.

Location: United Kingdom

Company

hirify.global is a global leader in AI-powered experience orchestration, connecting people, systems, and data for over 8,000 organizations worldwide.

What you will do

  • Lead, mentor, and develop a team of AI Solution Architects to foster technical excellence and innovation.
  • Define and execute the AI architecture vision aligned with customer experience transformation goals.
  • Oversee the design and validation of complex AI solutions leveraging generative AI, conversational AI, and cloud-native architectures.
  • Establish architectural standards for scalability, security, observability, and responsible AI practices.
  • Act as a trusted advisor to executive stakeholders and customers on AI transformation initiatives.
  • Collaborate cross-functionally with Product, Engineering, and Sales to influence AI product direction and go-to-market strategies.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • 10+ years of experience in enterprise architecture, solution architecture, AI, or cloud technologies.
  • 5+ years of leadership experience managing architects, engineers, or technical consulting teams.
  • Deep understanding of Generative AI, LLMs, Conversational AI, Agentic AI, and RAG.
  • Experience designing enterprise-scale AI solutions and cloud-native architectures.
  • Strong executive communication and stakeholder management skills.

Nice to have

  • Experience with AI platforms like OpenAI, Google Vertex AI, Amazon Bedrock, or Microsoft Azure AI.
  • Familiarity with vector databases, MLOps practices, and AI orchestration frameworks.
  • Cloud certifications (AWS, Azure, GCP) and AI-related certifications.

Culture & Benefits

  • Flexible-first work culture designed to support work-life balance.
  • Opportunities for growth through mentorship, leadership development, and education support.
  • Benefits include paid volunteer time, well-being resources, and regionally tailored programs.
  • Global recognition as a Great Place to Work certified organization.

Hiring process

  • Application review by Talent Acquisition and the hiring team.
  • Zoom interview with a Talent Acquisition Partner.
  • Interviews with the hiring manager and the broader interview team (typically no more than five interviews).

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