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AI Solution Architect Senior Manager (AI)
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Описание вакансии
Текст:
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
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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