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Job Description This is a remote position. We are seeking an experienced GenAI Architect to join a fast-moving product team building next-generation AI-powered applications. You will own the design and implementation of agentic AI systems, working hands-on with the development team to bring intelligent, production-grade solutions to life. This is a senior, hands-on architectural role on a live, commercially deployed product. A global consumer brand has already launched a GenAI-powered front-end agent in the UK - enabling customers to discover and explore products through natural language conversation. The platform is now entering a rapid multi-market roll-out: Germany first, then the Czech Republic, then Romania, with Poland and other markets running in parallel. You will own the AI architecture underpinning this expansion, working within an agile Python + AWS squad to evolve and scale the agentic system across diverse languages and markets. WHAT YOU'LL BE DOING: Designing and iterating on multi-agent AI architectures using LangGraph and LangChain Defining integration standards for MCP servers and agent communication protocols Collaborating daily with senior and junior engineers to implement and review AI components Advising on prompt engineering strategy, tool use design, and agent reliability Contributing to technical documentation and architectural decision records Requirements Proven experience with LangChain, LangGraph, and LangSmith - design, development, and production deployment Hands-on experience implementing Model Context Protocol (MCP) integrations Experience building Agent-to-Agent (A2A) architectures and multi-agent workflows Ability to work closely and collaboratively within a cross-functional development team Strong communication skills - able to translate complex AI concepts for technical and non-technical stakeholders English proficiency at B2 level or above NICE TO HAVE: Experience with telephony and call centre application development Familiarity with Twilio APIs and voice/AI integration patterns Background in enterprise AI platform architecture