5 дней назад
Technical Lead - Agentic AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Lead - Agentic AI (GenAI/Agent Orchestration): Building reusable and interoperable AI agents across websites, chatbots, ChatGPT, and retailer apps with an accent on technical architecture, agent orchestration, and enterprise integration. Focus on designing MCP and A2A integrations, knowledge graphs, GCP and Vertex AI architecture, and production-grade GenAI services.
Location: Paris, France; hybrid work with 3 days per week onsite
Company
is a digital product engineering company building products, services, and digital experiences across multiple devices and channels.
What you will do
- Provide technical leadership for an embedded squad building reusable and interoperable AI agents.
- Drive technical architecture, agent orchestration, and integration across enterprise ecosystems.
- Lead large, distributed engineering teams delivering production-grade GenAI services.
- Define MCP, A2A, and knowledge graph integrations across consumer touchpoints, including websites, chatbots, ChatGPT, and retailer apps.
- Work with Advanced Engineering and Modiface teams to make architecture decisions informed by AI/ML and computer vision expertise.
- Support internalisation through pair programming and knowledge transfer.
Requirements
- Proven experience leading large, distributed engineering teams in complex enterprise environments.
- Deep expertise in agent orchestration, Model Context Protocol, Agent-to-Agent integration, and knowledge graphs.
- Strong experience building and operating productised GenAI services.
- Familiarity with enterprise AI/ML frameworks and computer vision.
- Experience working with GCP architecture, Google ADK, Vertex AI, security requirements, and WCAG 2.1 AA accessibility standards.
Culture & Benefits
- Dynamic, non-hierarchical work culture with ownership and open collaboration.
- Work with a distributed international organisation of more than 18,000 experts across 39 countries.
- Collaborate across AI/ML, computer vision, advanced engineering, and product engineering disciplines.
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