обновлено 3 дня назад
AI Solution Architect Senior Manager
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI Solution Architect Senior Manager (AI and Cloud Architecture): Leading the design and governance of enterprise-scale AI-powered customer experience solutions with an accent on conversational AI, generative AI, cloud-native architecture, and responsible AI. Focus on developing AI architecture teams, translating business objectives into scalable solutions, and solving complex challenges in governance, security, reliability, and operationalization.
Location: United Kingdom
Company
provides an AI-powered experience orchestration platform connecting people, systems, data, and AI for customer and employee experiences.
What you will do
- Lead, mentor, and develop a team of AI Solution Architects.
- Define and execute the AI architecture vision for customer experience transformation.
- Oversee enterprise AI solution design using Cloud AI, conversational AI, generative AI, and third-party AI ecosystems.
- Establish standards for scalability, security, observability, reliability, compliance, and responsible AI.
- Lead customer discovery sessions, architecture workshops, executive briefings, and AI adoption roadmaps.
- Partner with Sales, Product Management, Engineering, Data Science, Professional Services, and Customer Success.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
- 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms.
- 5+ years of leadership experience managing architects, engineers, or technical consulting teams.
- Strong knowledge of generative AI, LLMs, conversational AI, agentic AI, machine learning, RAG, prompt engineering, AI governance, and responsible AI.
- Experience designing enterprise-scale AI solutions and cloud-native architectures.
- Knowledge of Cloud AI capabilities, customer engagement technologies, and contact center transformation.
Nice to have
- Experience with OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar platforms.
- Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps.
- Experience with data architecture, analytics, enterprise integration patterns, and AI transformation initiatives.
- AWS, Azure, GCP, or AI-related certifications.
Culture & Benefits
- Work on AI-powered technology used by more than 8,000 organizations worldwide.
- Flexible-first working culture within a global organization.
- Mentorship, learning programs, leadership development, and education support.
- Paid volunteer time, August Free Fridays, well-being resources, and regionally tailored employee and family programs.
Hiring process
- Application review by Talent Acquisition and the hiring team.
- Zoom interview followed by meetings with the hiring manager and interview team.
- Most processes include no more than five interviews before final steps are shared.
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